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4701 articles tagged with this entity.
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From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
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Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety
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InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs
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Large Behavior Model: A Promptable Digital Twin of the Retail Customer
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LLM-powered reasoning in agent-based modeling
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Ensemble Deep Learning Approaches for AI-Altered Video Detection
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Ego-Human Motion Prediction with 3D-Aware LLM
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TRACE-Seg3D: Counterfactual Context Auditing For Robust 3D Glioma Segmentation Under Institutional Shift
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DiffCVE: Diffusion-based Compressed Video Enhancement
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SoccerNet 2026 Challenges Results
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Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model
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Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?
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Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks
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Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization
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A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving
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ORCAID: Oblique Rule-Based Continuous-Action Interpretation for Deep RL Policies
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FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation
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Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
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PeTeR: Post-Training Robustification of Probabilistic Circuits
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Max Out GRPO Signal: Adaptive Trace Prefix Control for Hard Reasoning Problems
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The Key to Going Linear: Analysis-Driven Transformer Linearization
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Pelican-VLA 0.5: Attending Before Acting Benefits Generalization
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When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs
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Stability of Flow Models for Graph Signals
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The Appeal and Reality of Recycling LoRAs with Adaptive Merging
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Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
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MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
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ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities
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Geometric Collapse: When Vision Models Fail to Verify Physical Causality
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HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation
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Infinite Worlds with Versatile Interactions
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Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
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EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI
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Comprehensive Evaluation of Large Language Model Responses: A Multi-Factor Scoring System
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SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
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Multimodal Voice Activity Projection for Turn-Taking in Social Robots with Voice-Activity-Related Pretrained Encoders
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Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems
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RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
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Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset
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NonTextual Target Attack
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RWGBench: Evaluating Scholarly Positioning in Related Work Generation
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HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models
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Reconfigurable Radiology Labels Without Relabeling
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ECHO: Ego-Centric modeling of Human-Object interactions
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The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving Agents
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Zoom In Disparities in Healthcare LLM Q&A
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The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI
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Do LLM-Generated Skills Make Better AI Data Scientists? A Component Ablation Across Data-Science Workflows
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tsbootstrap: Distribution-Free Uncertainty Quantification and Conformal Prediction for Time Series
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A Continual Learning Framework for Adaptive Control of Modular Soft Robots
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A Multi-Analyst LLM Pipeline for Auditable Rule Discovery Across 68 Public Physiological Corpora
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When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems
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HumAIN: Human-Aware Implicit Social Robot Navigation
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AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org
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HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies
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Health System Scale Semantic Search Across Unstructured Clinical Notes
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From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists
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Cross-Trajectory Chimera Interventions Reveal Dissociable Roles of Weight Magnitude and Direction in Grokking
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Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning
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Efficient Bayesian Deep Ensembles via Analytic Predictive Inference
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Predicting LLM Safety Before Release by Simulating Deployment
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AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis
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AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation
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Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering
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AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
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GemNav: Discrete-Token Visual Robot Navigation using a Multimodal Large Language Model
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Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report
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End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent
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SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixture-of-Experts
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EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning
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Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors
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InfraQR: Edge-Placed QR-Inspired Structured Patch Attacks on Infrared Vision-Language Models
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AA-ViT: Anatomically Aware Vision Transformer with Structural and Frequency Guidance for Contrast Enhanced Brain MRI Synthesis
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HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework
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CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation
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MegaFlow: Zero-Shot Large Displacement Optical Flow
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Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection
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LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering
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DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation
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From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization
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From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents
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Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs
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AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection
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Reasoning Consistency Scanning: A Framework for Auditing Chain-of-Thought Validity in AI Safety Evaluations
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MIRA-Math: A Benchmark for Minimal Information Requesting and Mathematical Reasoning
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SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
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SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents
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SOMtime the World Ain$'$t Fair: Violating Fairness Using Self-Organizing Maps
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A Good Initialization is All You Need for Faithful Visual Attribution
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WildCity: A Real-World City-Scale Testbed for Rendering, Simulation, and Spatial Intelligence
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TriRoute: Unified Learned Routing for Joint Adaptive Attention, Experts, and KV-Cache Allocation
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STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting
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When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models
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LEMUR 2: Unlocking Neural Network Diversity for AI
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An Hybrid Quantum-Classical Diffusion Model for Image Generation
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Agon: Competitive Cross-Model RL with Implicit Rival Grading of Reasoning
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SPEAR: A Simulator for Photorealistic Embodied AI Research
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Deployment Risk Assessment Using Diff-Aware Features: A Case Study at Prime Video
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Behavior Leverage Imbalance in Multi-Teacher On-Policy Distillation
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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
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Adversarial Rademacher Complexity of Deep Neural Networks
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FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning
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Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
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Can We Really Learn One Representation to Optimize All Rewards?
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Toward Robust Open-set Adaptation: Synapse Consolidation Inspired by Rac1/MAPK Pathways
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Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
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Open-Ended Scenario Reasoning for Specialist Model Adaptation
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Gimitest: A Comprehensive Tool for Testing Reinforcement Learning Policies
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Inertia-1: An Open Exploration of Wearable Motion Foundation Models
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HiFuzz: Hierarchical Reinforcement Learning for Semantic-Aware and Adaptive CPU Fuzzing
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PALS: Percentile-Aware Layerwise Sparsity for LLM Pruning
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DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression
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Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference
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When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning
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Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
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Vision Language Action (VLA) Models for Unmanned Aerial Robotics and Bimanual Manipulation: A Review
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Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation and Clinical Translation
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A Unified Detection Framework for AI-Related Content and Artifacts
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Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning
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FPTQuant: Function-Preserving Transforms for LLM Quantization
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Agent Step Value: Probing the Observer Effect in Black-Box Traces
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Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search
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VisTCP: A Visualization Framework to Construct Knowledge-Graph-Based Representation for Traditional Chinese Painting
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Depression Symptoms and Relational Patterns in 187k ChatGPT Histories
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Whose fairness? Structural concentration in AI bias research
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Evaluating calibrated refusal and safe usefulness in dual-use biology settings
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PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation
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Beyond Static Evaluation: Building Simulation Environments for Scalable Agentic Reinforcement Learning
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Akashic: A Low-Overhead LLM Inference Service with MemAttention
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BabyVision: Visual Reasoning Beyond Language
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UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
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ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
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SAGE: Spatial-visual Adaptive Graph Exploration for Efficient Visual Place Recognition
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UniField: A Unified Field-Aware MRI Enhancement Framework
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ArtisanCAD: An Industrial-Level CAD Agent with Expert-Grounded Knowledge Distillation
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TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting
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FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games
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Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
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x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability
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Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks
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PGOT: A Physics-Geometry Operator Transformer for Complex PDEs
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PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning
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MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data
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Reliable Mislabel Detection for Video Capsule Endoscopy Data
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Segmentation before Answering: Pixel Grounding for MLLM Visual Reasoning
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Realistic Compound-Lens Defocus Blur Synthesis
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EcoVision: AI-Powered Drone Imaging for Salt Marsh Vegetation Monitoring and Dominance Mapping
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Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair
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EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage
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Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation
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MonoIR-RS: Infrared Remote Sensing Vision-Language Learning with CLIP and VLM Adaptation
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GEM-Occ: From Visual Geometry Evidence to Embodied Semantic Occupancy Memory
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GraspIT: A Dataset Bridging the Sim-to-Real gap and back for Validated Grasping SE(3) Pose Generation
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TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring
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Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment
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NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds
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FUSE: A Flow-based Mapping Between Shapes
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OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding
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LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models
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Why does Deep Learning Improve Visual SLAM?
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RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations
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Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification
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Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation
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AirflowAttack: Thermal-Airflow Adversarial Perturbations against Infrared Remote-Sensing Vision-Language Models
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RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
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Replication in Visual Diffusion Models: A Survey and Outlook
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NAMD: Virtual Follow-up Computed Tomography Synthesis via Nodule-Aligned Multimodal Diffusion Models for Early Lung Cancer Diagnosis
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HumanOmni-Speaker: Identifying Who said What and When
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Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
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RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models
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Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information
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i-EXAM: Instructable and Explainable Attack Connectivity Graph Modeler
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An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery
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Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection
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Benchmarking KV-Cache Optimizations across Task Quality and System Performance for Long-Context Serving
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Umm... With Transformers? Insights from Filled Pause Use across Four Slavic Parliaments
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From Blueprint to Reality: Modeling and Applying Putnam's Social Capital Theory with LLM-based Multi-agent Simulations
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CurateEvo: Data-Curation Evolving for Agentic Post-Training
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Automated Compliance Mapping in Cloud Security with Domain-Adapted Sentence Transformers
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From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b
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Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation
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DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation
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LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation
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ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modelin
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Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory
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Integrating knowledge graphs and multilingual scholarly corpora for domain-adaptive LLMs in SSH
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PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents
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KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking
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MASCA: LLM based-Multi Agents System for Credit Assessment
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TriA Pipeline: A Large-Scale Automatic Audio Annotation Pipeline For Audio Classification In Specific Scenarios
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CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration
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AVA-VLM: Adaptive Visual Attention-Vision Language Model for In-the-Wild Construction Site Monitoring
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Towards Interpretable Foundation Models for Retinal Fundus Images
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Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory
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WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation
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MobileWan: Closing the Quality Gap for Mobile Video Diffusion
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VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
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AlayaWorld: Long-Horizon and Playable Video World Generation
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From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
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OrchardBench: A Physically-Grounded, GPU-Parallel Apple-Orchard Simulation Benchmark for Agricultural Robotics
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Filtering Memorization from Parameter-Space in Diffusion Models
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SAMBA: A Scatter-Guided Masked Bidirectional Mamba Foundation Model for SAR Target Recognition
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EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
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FirstResearch: Auditable Question Formation for LLM Scientific Discovery Agents
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Controlling Tool Use with Heading-Specific Activation Steering
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InvWeaver: Deductive Feedback for Invariant Synthesis in Interacting-Loop Programs
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Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade
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aiAuthZ: Off-Host, Identity-Bound Authorization for AI Agents
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Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development
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How Personas Can Influence Agents to Play Split or Steal
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BaFCo: A Document Understanding Benchmark for Complex Bangla Form Comprehension
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Is Domain Adaptation Always Helpful? A Frozen-Backbone Study of Cross-Domain Sentiment Transfer
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Measuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability
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Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction
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Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates
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Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis
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The relationship between reasoning and performance in large language models--o3 (mini) thinks harder, not longer
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Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMM
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Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner
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Base Models Know How to Reason, Thinking Models Learn When
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Canopy: A Heterograph Foundation Model for Metabolic Engineering
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Auditing of Unlearning Algorithms
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Detoxify: A framework for abusive text transformation using LLMs
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SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation
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CoPiT: Cognitive Pivot Translation for Digraphic Low-Resource Mongolian in the Traditional Script
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InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost
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PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
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Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design
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Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs
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Pitwall: Faithful Natural-Language Race-Strategy Briefings from a Calibrated Real-Time Monte Carlo Engine
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Prompt-to-Paper: Agentic AI System for Bioinformatics
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RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications
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WordVoice: Explicit and Decoupled Multi-Dimensional Word-Level Control for LLM-Based TTS
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PolyJarvis: An LLM-Orchestrated Agent for Automated All-Atom Molecular Dynamics of Amorphous Homopolymers
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ROK-FORTRESS: Measuring the Effect of Geopolitical Transcreation for National Security and Public Safety
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From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation
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AdaStop: Cost-Aware Early Stopping for DNN Test Selection
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SafeImpute: Reliable Clinical Data Imputation via Conformal Selection
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HoloCount: A Holistic Visual Counting Benchmark for MLLMs
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Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations
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SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR
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FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion
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BoRP: Bootstrapped Regression Probing for Scalable and Human-Aligned LLM Evaluation
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Chronos: The AI Co-Historian
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EventCoT: Event-centric Video Chain-of-thought for Reasoning Temporal Localization
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RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust Vulnerabilities
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ToolFailBench: Diagnosing Tool-Use Failures in LLM Agents
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Generative wave propagator
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Separating Representation from Reconstruction Enables Scalable Text Encoders
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Scalable Semantic Steering of Embedding Projections
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NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO
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Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
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Moonstone: A Multimodal Foundation Model and Benchmark for Lunar Remote Sensing
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AGL-1: The Enterprise AI Governance Layer as a Control Plane for Trusted Enterprise Intelligence
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Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
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Equivalence of Context and Parameter Updates in Modern Transformer Blocks
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MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems
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The Moving Target: A Longitudinal Audit of Trustworthiness Drift Across Twelve Checkpoints of Open-Source Chat LLMs
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rePIRL: Learn PRM with Inverse RL for LLM Reasoning
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SE-UNet: Singular Equivariant Imaging for Real-World Constrained Generation
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Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders
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ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
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Effective Distillation to Hybrid xLSTM Architectures
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PromptPET: Privacy-Utility Optimized Prompt Obfuscation
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MPINeuralODE: Multiple-Initial-Condition Physics-Informed Neural ODEs for Globally Consistent Dynamical System Learning
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Don't Wait to Reply: Towards Responsive yet Thoughtful Dialogue through Proactive Thinking
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Convergence Analysis of the ProbAbilistic Gradient Estimator Algorithm for Weakly Convex Finite-Sum Optimization
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Motion Attribution for Video Generation
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Revealing Hidden Model Behaviors with Task-Specific Self-Reports
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Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion
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VideoSearcher: Empowering Video Deep Research with Multi-Tool Agentic Reasoning via Reinforcement Learning
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Rethinking Scientific Discovery in an Agentic Era
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Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs
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Memory-Orchestrated Semantic System (MOSS): An Auditable Agentic Memory Architecture
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CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning
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Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know"
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HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders
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Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation
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STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition
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Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities
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Aligning Language Models with Selective Prediction
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MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs
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RL Forgets! Towards Continual Policy Optimization
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Differentiate the Evaluator, Not the Program: An Efficient Runtime Representation for Neuro-Symbolic Learning
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Homer: Understanding Long-form Videos with Hierarchical Memory and Agentic Reasoning
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When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah
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Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?
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Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild
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LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning
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RADIO1D: Elastic Representations for Condensed Vision Modeling
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SovereignNegotiation-Bench: Evaluating User-Owned Personal Agents In Delegated Bargaining Under Privacy, Consent, Evidence, And Institutional Pressure
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Don't Blame the Large Language Model: How Scaffolding Evolution Shapes Coding Agent Quality
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Measuring What Matters: A Unified Evaluation Framework for GNN Explainability
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Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation
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!Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics
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PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
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R3D: Quantitative 3D Spatial Reasoning for Egocentric Wearables
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Probing Geospatial SSL Representations with Environmental Signals
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GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
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A non-invasive video-based method for individual identification of wildlife using gait dynamics
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AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer
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RADIANCE: Relative Adaptive Denoising with IP-Adapter for Novel Concept Enhancement
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GUSH3R: Everyone Everywhere All at Once as Gaussians
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EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots
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GALOSH: Blind, Training-Free Denoising of Raw Bayer and sRGB Images by Parallel-Friendly Local Shrinkage
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Agent-driven Long-tail Simulation for Autonomous Driving
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MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement
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A Reliable Context-Aware and Temporal Planning Framework for Autonomous Driving
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Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models
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TiROD: Tiny Robotics Dataset and Benchmark for Continual Object Detection
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IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation
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Phi-SegNet: Phase-Integrated Supervision for Medical Image Segmentation
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Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms
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From Gentlemen to Frontiermen: Masculine Formations in English-Language Fiction (1771--1930)
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AquaStereo: Enabling Underwater Stereo Matching via Depth-Conditioned Diffusion and Geometry Self-Distillation
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Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
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High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching
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LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2
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BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes
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Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity
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CritiqueDriveVLM: From Verifier-Guided Reinforcement Learning to Latent Thought Distillation for Autonomous Driving
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IRIS: An Intelligent Vision-Language System for Ocular Surface Diseases via Topic Tree and Scene-Driven VQA Generation
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Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language
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SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
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When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents
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REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing
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Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
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Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
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Programming over Thinking: Efficient and Robust Multi-Constraint Planning
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Evaluating LLM-Based Regression Test Generation
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Learning from Lost Provenance: Multiple Instance Learning for Cancer Registry Tumor Group Classification
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A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign
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VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models
-
IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
-
A Digital Twin Framework for Traffic-Aware UAV Pavement Monitoring in Open-Traffic Conditions
-
MAGE: View-guided Point Cloud Completion with Efficient Modality Alignment and Adaptive Geometry Enhancement
-
Latent Visual Cache for Video Reasoning
-
GRCD: Grounded Region Change Detection for Multi-Finding Chest X-Ray Pairs
-
Track the Noise, Move the World:3D-Grounded Motion-Consistent Noise for Controllable Video Generation
-
Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model
-
Vision Non-Causal Trapezoidal Mamba: Eliminating Directional Scanning in Vision SSMs with Second-Order Dynamics
-
G$^2$TAM: Geometry Grounded Track Anything Model
-
SharpSplat: Edge-Regularized 3D Gaussian Splatting for High Fidelity Urban Building Reconstruction from UAV images
-
SGF-CDNet: A Consistency-Discrepancy Graph Network over Semantic-Geometric Fused Nodes for Face Forgery Detection
-
PreSIST: Vision-Language-Informed Object Persistence Prediction in Open-World Scenes
-
TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation
-
FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms
-
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling
-
JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
-
Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny
-
BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
-
Kwai Summary Attention Technical Report
-
Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry
-
Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
-
ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes
-
FM-ChangeNet: Learning Change through Pathwise Feature Transport
-
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training
-
Evaluating and Understanding Model Editing for Medical Vision Language Models
-
Not Every Sync Is Safe: Calibrated DiLoCo Scheduling for Shared AI Infrastructure
-
An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks
-
Where do LLMs Fall Short in CBT-Guided Affective Reasoning?
-
MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model
-
OpenGlass: A Sensing-Computing Split Architecture for Local MLLM-Driven Real-Time Visual Assistance
-
From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control
-
FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
-
AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model
-
GestaltMML: Enhancing Rare Genetic Disease Diagnosis through Multimodal Machine Learning Combining Facial Images and Clinical Text
-
They Infer What You Meant: Models Represent Communicative Intent More Reliably Than They Act On It
-
Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG
-
Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question Answering
-
Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP)
-
Tightening the Score Matching Gap for Diffusion Models
-
CRISP: A Spatiotemporal Camera-Radar Backbone for Driving via Forecasting-Based World-Model Pretraining
-
Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
-
LLM for the development of FCM
-
TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph Construction
-
msPCA: An R Package for Sparse PCA with Multiple Components
-
Privacy-Preserving Robustness Verification for Neural Networks
-
From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model
-
ICR-RL: Deep Reinforcement Learning via In-Context Regression
-
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
-
Attributing Emergence in Million-Agent Systems
-
A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference
-
Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity
-
EvoOtter: Evolutionary Reproduction Test Generator
-
Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
-
QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting
-
Out-of-Distribution Generalization of Risk Aversion in Language Models
-
GRAFT: Grafted Reference Audio for Fine-grained Pronunciation in Zero-shot Text-to-Speech
-
Labeled-Data-Free Meta-Learning: Efficient Task Generation Using Pre-trained Models and Unlabeled Data
-
Spectral Rewiring for Exploration, Purification, and Model Merging
-
Reduced-Order Models: The Mother of World Models
-
PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discovery
-
A harmonised dataset for Earth system foundation models
-
WeightCLIP: Aligning Datasets and Models for Weight Space Learning
-
LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
-
Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning
-
Target-Aware Interaction-Guided Reinforcement Learning for Black-Box Node Injection Attacks on Graph Neural Networks
-
Dictionaries, Not Darwin: Set-Level Selection Beats LLM Evolution in Scientific Equation Discovery
-
GlacierCastAI: Predicting Glacier Retreat from Multi-Modal Satellite Imagery and Climate Signals
-
Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory
-
One Framework for All: Cross-Modal Membership Inference for Generative Models
-
NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation
-
A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC
-
ManifoldFlow: SPD-Relaxed Stiefel Layers with Learnable Singular Spectrum
-
Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers
-
FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training
-
CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents
-
Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers
-
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
-
DELTA-TTS: Adapting Autoregressive Model into Diffusion Language Model for Text-to-Speech
-
CONTRA: Red-Teaming Configurations of Personalizable Agents
-
AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis
-
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
-
EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
-
CTForensics: A Comprehensive Dataset and Method for AI-Generated CT Image Detection
-
RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain
-
Anchored Self-Play for Code Repair
-
Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation
-
ChatImage: Navigating Long-Form LLM Answers through Interactive Images
-
SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments
-
Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy
-
TimeThink: Reasoning with Time for Video LLMs
-
Overloading Large Vision-Language Models for Jailbreaking
-
Handwriting Trajectory Recovery with Diffusion Models
-
Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs
-
Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity
-
TestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model
-
A Fair Benchmarking of Deep Relational Database Learning Models
-
Road-Aware Anomaly Segmentation with Query-Guided Polygons and CLIP in Autonomous Driving
-
See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition
-
RayTun3R: Online Camera Adaptation in 3D Foundation Models
-
EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions
-
Hierarchical Evidence-Driven Reasoning for Long Document Understanding
-
An Exploration of Agentic Information Fusion for Test Maintenance Prediction
-
LLM-Based Test Oracles: Source-of-Authority Taxonomy -- A Systematic Literature Review
-
RUFNet: Query-Guided Support Mask Refinement and Uncertainty Fusion based on Hybrid Mamba for Few-Shot Brain Tumor Segmentation
-
CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors
-
Query2Diagram: Answering Developer Queries with UML Diagrams
-
kAgent: An execution-guided crash resolution agent for the Linux kernel
-
ARISE: A Repository-level Graph Representation and Toolset for Agentic Program Repair and Fault Localization
-
When Simpler Is Better: Evaluating Translation Pipelines for Medieval Latin Manuscripts
-
OpenSIR: Open-Ended Self-Improving Reasoner
-
Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process
-
Forethought: Verifiable Reasoning from Neurosymbolic Primitive Programming
-
ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language
-
Agent Step Value: State-Transition Measurement with State-Grounded LLM Evaluators
-
The Changing Role of Symbolic Methods in Artificial Intelligence
-
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
-
LLM-based Human Simulations Have Not Yet Been Reliable
-
Toward Trustworthy Large Language Model Agents in Healthcare
-
Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation
-
FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents
-
OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras
-
When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games
-
Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems
-
Teaching Code LLMs to Reason with Intermediate Formal Specifications
-
ChainReaction: Causal Chain-Guided Reasoning for Modular and Explainable Causal-Why Video Question Answering
-
Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs
-
The Classics at SemEval-2026 Task 3: Combining Transformer Models and LLM-Generated Annotations for Dimensional Aspect-Based Sentiment Analysis
-
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction
-
Improving LLMs via Validator-to-Generator Alignment
-
DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion Generation
-
Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
-
Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter
-
QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
-
CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning
-
CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space
-
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
-
Language models guide symbolic equation discovery by controlling search
-
Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection
-
UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion
-
E-TraMamba: A New Paradigm for Efficient Long-Term 3D Feature Tracking with Event Cameras
-
LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question Answering
-
InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
-
TRACER: Early Failure Detection for Task-Oriented Dialogue
-
WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection
-
AI Wizards at EXIST 2026: Hierarchical Soft-Label Learning for Multimodal Sexism Identification in Memes
-
Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
-
FormalRx: Rectify and eXamine Semantic Failures in Autoformalization
-
FOI-O: An NZ-first ontology and verification methods package for Freedom of Information process modelling
-
Large-scale dataset of automatically classified rhetorical sections in scientific papers
-
HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control
-
Video Generation Models Are Inherent Lighting Estimators
-
Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data?
-
CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces
-
Auto: The AGI Compiler
-
Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations
-
UniVideo: Unified Understanding, Generation, and Editing for Videos
-
MedCalc-Pro: Solving Complex Medical Calculations with LLM Agents
-
VERITAS: Towards a General-Purpose Replication Tool for Scientific Research
-
Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters
-
PDEFlow: Autonomous Agentic PDE Pipelines for Neural Operator Learning and Solver-Free Inference
-
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
-
Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning
-
TREK: Distill to Explore, Reinforce to Refine
-
Silicon Sampling via Cross-Survey Transfer
-
Incentivizing Vision Language Models to Search for Long Video Question Answering
-
PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation
-
KARMA: Knowledge graph-based Automated Reasoning Materialization and Alignment
-
SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference
-
Efficient Decentralized Multi-task Dataset Valuation via Model Merging
-
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
-
TESSERA v2: Scaling Pixel-wise Earth Foundation Models
-
Governing Generative AI Across Financial Institutions: An SR 26-2-Compatible Framework for Generative AI Risk Control
-
Sangam: Efficiently Serving Diffusion LLMs with the AR Stack
-
Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning
-
Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5
-
Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-Thought Auditing
-
MTEB-PT: A Text Embedding Benchmark for Brazilian Portuguese
-
AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection
-
What is Left for Us? Second Scholarship Against the Degradation of Research by AI
-
DuplexChat: Constructing Speaker-Separated Full-Duplex Dialogue Speech at Scale for Spoken Dialogue Language Modeling
-
FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds
-
Language Models Represent and Transform Concepts with Shared Geometry
-
BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
-
FairFlow: Demystifying and Mitigating Stereotype Bias in Text-to-Image Diffusion Transformers
-
DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection
-
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
-
Vidu S1: A Real-Time Interactive Video Generation Model
-
EMPURPLE: A Free Lunch for Diffusion Distillation based on the Information Bottleneck
-
Beyond Post-Quantization: Native Hash Learning with a Dedicated HASH Token
-
DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation
-
A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
-
Your Agent's Memories Are Not Its Own: Forged Reasoning Attacks on LLM Agent Memory and Defenses
-
Walma: Learning to See Memory Corruption in WebAssembly
-
Automated Data Readiness for Scientific AI
-
OpenTinker: Separating Concerns in Agentic Reinforcement Learning
-
LangLoc: "Tell Me What You See"
-
Progressive Disclosure for LLM-Maintained Wiki Knowledge Bases: a Preregistered Ablation
-
Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home Clusters
-
SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion
-
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
-
ReCal3R: Reliability-Calibrated Learning Rates for Streaming 3D Reconstruction
-
MedMambaLite: Hardware-Aware Mamba for Medical Image Classification
-
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
-
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
-
DynaWM: A Base-VLA-Guided World Foundation Model for Moving-Object Manipulation
-
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
-
GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video
-
Risk-Constrained Freshness-Aware Semantic Caching for Open-Web Retrieval-Augmented LLMs
-
HCSU: A Dataset and Benchmark for Fine-Grained Historical Calligraphy Style Understanding
-
The Remarkable Effectiveness of Providing AI Agents with Natural Language Tools: A Replication Study Validating NLT Performance Across 14 Models
-
LBTCap: A Lightweight Bilateral Transformer for Real-Time Remote Sensing Image Change Captioning
-
Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs
-
SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications
-
MentalThink: Shaping Thoughts in Mental SVG World
-
Don't Make Models Guess Security and Safety: Symbolic Guardrails for Domain-Specific AI Agents
-
Folding, Reasoning, and Scaling with Open-source Drug Discovery Engine
-
PLACEMEM: Toward a Compute-Aware Memory Plane for Lifelong Agents
-
CausalGame: Benchmarking Causal Thinking of LLM Agents in Games
-
Legible-by-Construction: Attention and End-to-End Transformers
-
MechMath Agent Team: LLM Driven Agents for Mathematical Research
-
VLA Grounder: Language-Conditioning Space Optimization for Black-Box VLA Models
-
Weighted Conformal Prediction for Lab-to-Track Thermal Transfer in EV Motorsport Powertrains
-
Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models
-
Rank-Order N-of-M Codes for Sparse Distributed Memory: Disentangling Representation and Learning Effects in Noise Robustness Against Contemporary Neuromorphic Architectures
-
Do ECG Foundation Models Transfer to Rare Cardiac Diseases? Evidence from Brugada Syndrome Detection
-
MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution
-
Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report
-
Evaluating Agentic Harness Systems for Autonomous Computational Pathology
-
LLMoxie: Exploring Agentic AI for Scientific Software Development
-
Aircraft Detection in Satellite Imagery using Deep Learning Object Detectors
-
Conversational Human Audio-visual Talking Dialogue Generation
-
Prior Bias in Vision Language Models on UML Diagram Interpretation
-
Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN
-
VISTA: Auditing Semantic Divergence in Vision-Language Models
-
Unified Audio Intelligence Without Regressing on Text Intelligence
-
How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation
-
Text as Partial Constraint: Core-Residual Alignment for Robust Vision-Language Learning
-
STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data
-
EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI
-
OmniLayout: A Schematic-Coupled Multimodal Benchmark for Constraint-Aware Geometric Reasoning in PCB Layout
-
NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding
-
MapDreamer: Aerial Imagery Conditioned Latent Diffusion for Lane-Level Map Generation
-
Multi-Resolution Flow Matching: Training-Free Diffusion Acceleration via Staged Sampling
-
Descriptor: LYNRED Mobility Dataset Multimodal Detection Subset (LYNRED-MDS)
-
Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports
-
HandsOnWorld: Unconstrained Egocentric Video Generation with Camera-Disentangled Hand Control
-
VisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object Retrieval
-
TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution
-
HAL: Inducing Human-likeness in LLMs with Alignment
-
Rethinking Speech-LLM Integration for ASR: Effective Joint Speech-Text Training by Interleaving
-
CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning
-
Hyperloop Transformers
-
Transformer Geometry Observatory TGO-II: Representational Similarity Observatory
-
A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting
-
Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation
-
Online Segment 3D Gaussians via Launching Virtual Drones
-
Auto-FL-Research: Agentic Search for Federated Learning Algorithms
-
Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases
-
Janus: a Playground for User-Involved Agentic Permission Management
-
Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling
-
Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing
-
DRL-CLBA: A Clean Label Backdoor Attack for Speech Classification via DDPG Reinforcement Learning
-
UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development
-
Steerability via constraints: a substrate for scalable oversight of coding agents
-
Collaborative Disagreement Resolution for Scalable Oversight
-
ADVENT: LLM-Driven Automatic Predicate Invention for ILP
-
AgenticDataBench: A Comprehensive Benchmark for Data Agents
-
Conditional Co-Ablation: Recovering Self-Repair Backups in Transformer Circuits
-
OpenSafeIntent: Evaluating Intent-Calibrated Safe Completion Across Dual-Use Prompt Sets
-
WorldSample: Closed-loop Real-robot RL with World Modelling
-
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
-
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
-
Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas
-
LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning
-
Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph
-
CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
-
FaithMed: Training LLMs For Faithful Evidence-Based Medical Reasoning
-
On the Limits of Steering Vectors for Preference-Aligned Generation
-
IonSense-QKG: A Quantum-Readiness Metadata Framework for Lithium-Ion Battery Dataset Discovery
-
Role-Aware Neural Convex Divergence Heads for Asymmetric Representation Learning
-
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
-
DecompRL: Solving Harder Problems by Learning Modular Code Generation
-
LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design
-
WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs
-
SpaceEra++: A Unified Framework Towards 3D Spatial Reasoning in Video
-
Composite Reward Design in PPO-Driven Adaptive Filtering
-
FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation
-
EO-Agents: A Three-Agent LLM Pipeline for Earth Observation Hypothesis Generation
-
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication
-
Bridging 3D Gaussians and Semantic Occupancy for Comprehensive Open-Vocabulary Scene Understanding from Unposed Images
-
TCG-AR: Real-Time Multi-View Augmented Reality for Trading Card Game Streaming
-
AdaCount: Training-Free Similarity-Guided Spatial and Feature Adaptation for Zero-Shot Object Counting
-
Efficient PEFT Methods with Adaptive Checkpointing for Vision Models and VLMs on Resource Constrained Consumer-GPUs
-
Real-Time Visual Intelligence on Low-Cost UAVs: A Modular Approach for Tracking, Scanning, and Navigation
-
Towards Interactive Global Geolocation Assistant
-
Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models
-
Purified OPSD: On-Policy Self-Distillation Without Losing How to Think
-
Kara: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression
-
Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning
-
kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail
-
MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
-
X-LogSMask: Expand Transformer for Graph-Structured Data
-
MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction
-
EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning
-
Single-Channel EEG-Based Cognitive Load Assessment in Online Learning: A Hybrid Deep Learning Approach
-
SABER: A Semantic-Aligned Brain Network Analysis Framework via Multi-scale Hypergraphs
-
NeoMap: Training-free Novel-View Synthesis from Single Images and Videos
-
Object Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization
-
Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
-
Towards Load-Aware Prefill Deflection for Disaggregated LLM Serving
-
Challenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages
-
SkillFuzz: Fuzzing Skill Composition for Implicit Intents Discovery in Open Skill Marketplaces
-
GAP-GDRNet: Geometry-Aware Monocular Visual Pose Sensing on a Single-Target Synthetic Spacecraft Dataset
-
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
-
TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs
-
UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement
-
Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity
-
$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
-
Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration
-
From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Physics
-
ContraFix: Skill-Enhanced Contrastive Runtime Analysis for Vulnerability Repair
-
RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules
-
RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned Evaluation
-
PARTREP: Learning What to Repeat for Decoder-only LLMs
-
Unlocking Speech-Text Compositional Powers: Instruction-Following Speech Language Models without Instruction Tuning
-
BamiBERT: A New BERT-based Language Model for Vietnamese
-
AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
-
Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
-
SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence
-
Many Voices, One Reward: Multi-Role Rubric Generation for LLM Judging and Reward Modeling
-
Rethinking Conditional Generation for Underwater Salient Object Detection
-
LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing
-
Open-Weather Robust 3D Detection via Dual-Critic Diffusion Alignment
-
ComplexMimic: Human-Scene Interaction Imitation in Complex 3D Environments
-
SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology
-
DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation
-
DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing
-
MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection
-
Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment
-
EAGLE-360: Embodied Active Global-to-Local Exploration in 360$^\circ$
-
GeoMix: Descriptor-Free Visual Localization via Global Context and Multi-Detector Training
-
DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints
-
Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving
-
BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology
-
CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse
-
Beyond Next-Token Prediction: An RLVR Proof of Concept for Tool-Use Agents on Atlassian Workflows
-
OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration
-
Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model
-
Autonomous discovery of traffic laws with AI traffic scientists
-
COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows
-
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
-
MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support
-
Atomic Task Graph: A Unified Framework for Agentic Planning and Execution
-
ContextNest: Verifiable Context Governance for Autonomous AI Agent
-
A rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning tasks
-
Safeguarding LLM Agents from Misalignment through Provenance Analysis
-
Safety Targeted Embedding Exploit via Refinement
-
Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
-
ZENITH: Automated Gradient Norm Informed Stochastic Optimization
-
Towards Robustness against Typographic Attack with Training-free Concept Localization
-
Breaking Safety at the Token Boundary: How BPE Tokenization Creates Exploitable Gaps in LLM Alignment
-
Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code
-
DRIFTLENS: Measuring Memory-Induced Reasoning Drift in Personalized Language Models
-
ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
-
Predicting Closed-Loop Performance of Latent World Models: Offline Checkpoint Selection for MPC and Model-Based RL Under Non-Markovian Rewards in LunarLander
-
Rank-Then-Act: Reward-Free Control from Frame-Order Progress
-
HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures
-
Neuron-Aware Data Selection for Annotation-Free LLM Self-Distillation
-
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
-
Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism
-
Do Newer Lightweight CNNs Perform Better Under Resource Constraints? A Controlled Multigenerational Study of Architecture, Initialization, Training Budget, and Efficiency
-
Scaling Trends for Lie Detector Oversight in Preference Learning
-
ESC: Emotional Self-Correction for Reliable Vision-Language Models
-
DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM
-
Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
-
Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing
-
HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety
-
MonoMSK: Monocular 3D Musculoskeletal Dynamics Estimation
-
Towards Metric-Agnostic Trajectory Forecasting
-
GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting
-
EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection
-
Linguistic Relative Policy Optimization for Video Anomaly Reasoning
-
Caption Bottleneck Models
-
BrainFIBRE: A Foundation Model via Information Decomposition for Brain Microstructure
-
HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding
-
AEGIS: A Multi-Task Joint-Embedding Predictive Architecture for Mammography
-
PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking
-
MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark
-
"Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo
-
Safe Alone, Unsafe Together: Safeguarding Against Implicit Toxicity When Benign Images Combine
-
Understanding Why Language Models Hallucinate: Testing Reasoning Against Priors
-
FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling
-
Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices
-
Steal the Patch Size: Adversarially Manipulate Vision-Language Models
-
TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
-
When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting
-
Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling
-
Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
-
PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
-
EPC: A Standardized Protocol for Measuring Evaluator Preference Dynamics in LLM Agent Systems
-
GUI-Perturbed: Domain Randomization Reveals Systematic Brittleness in GUI Grounding Models
-
Moir\'e Video Authentication: A Physical Signature Against AI Video Generation
-
When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
-
SleepLM: Natural-Language Intelligence for Human Sleep
-
LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language Models
-
SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments
-
Valdi: Value Diffusion World Models
-
GameDevBench: Evaluating Agentic Capabilities Through Game Development
-
Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
-
FLAT: Revealing Hidden Latent-Conditioned Backdoor Failures in Federated Learning
-
Toward Cybersecurity-Expert Small Language Models
-
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
-
MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules
-
Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions
-
StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning
-
Rosetta: Composable Native Multimodal Pretraining
-
MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment
-
VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning
-
Readable but Not Controllable: Neuron-Level Evidence for Medical LLM Hallucination
-
YOMI-Bench: A Benchmark for Evaluating Kanji Reading and Phonological Understanding of LLMs for Japanese
-
Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates
-
LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data
-
Gavel: Agent Meets Checklist for Evaluating LLMs on Long-Context Legal Summarization
-
Does Your ViT Still Need U-Net for Segmentation?
-
NoPA: Non-Parametric Online 3D Scene Graph Generation
-
GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data Engine
-
Semantic-Guided Reading Order Reconstruction in Historical Armenian Newspapers with LLMs
-
EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation
-
UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving
-
Bounded Morality: Defining the Space of Moral Computation
-
Seed2.0 Model Card: Towards Intelligence Frontier for Real-World Complexity
-
Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
-
Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments
-
Agentic generation of verifiable rules for deterministic, self-expanding reaction classification
-
SkillSelect-Serve: Budget-Controllable and QoS-Aware Skill Service Recommendation and Composition for Small LLM Agents
-
GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings
-
EgoSafetyBench: A Diagnostic Egocentric Video Benchmark for Evaluating Embodied VLMs as Runtime Safety Guards
-
The Illusion of High Utility in Safety Alignment of Text-to-Image Diffusion Models
-
Speech Playground: An Interactive Tool for Speech Analysis and Comparison
-
Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and Documents
-
Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions
-
Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction
-
Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication
-
AGI Maze as a Benchmark Framework for World-Modeling Agents
-
GKDT: General Keypoint Detection Transformer
-
Towards High-Resolution Visual Perception via Hierarchical Entity Exploration
-
MG-RWKV: Multi-Grained Context-Aware RWKV for Temporal Forgery Localization
-
GenAU: Language-Grounded Industrial Anomaly Understanding with Vision-Language Models
-
Vertigo Vertigo: Reconstructing a Cinematic Ideal through its Predictive AI Double
-
Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale
-
SpatialMosaic: A Multiview VLM Dataset for Partial Visibility
-
FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology
-
AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
-
What's Hidden Matters: Identifying Planning-Critical Occluded Agents using Vision-Language Models
-
When AI meets quantum information: A comprehensive review
-
NeuroCogMap Reveals Cognitive Organization of Large Language Models
-
Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval
-
EgoGapBench: Benchmarking Egocentric Action Selection in Multi-Agent Scenes
-
LLVM-Bench: Benchmarking and Advancing Large Language Models for LLVM Compiler Issue Resolution
-
Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations
-
Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
-
Autonomous Scientific Discovery via Iterative Meta-Reflection
-
Measuring the Gap Between Human and LLM Research Ideas
-
Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds
-
CausalMix: Data Mixture as Causal Inference for Language Model Training
-
Diffusion-GR2: Diffusion Generative Reasoning Re-ranker
-
OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale
-
Crystalite: A Lightweight Transformer for Efficient Crystal Modeling
-
REALM: An RGB- and Event-Aligned Latent Manifold for Cross-Modal Perception
-
Which Metric Reflects the Spelling Rate Accuracy in Event-Related Potential-Based Brain-Computer Interfaces?
-
Beyond Activation Alignment:The Alignment-Diversity Tradeoff in Task-Aware LLM Quantization
-
CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education
-
Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility
-
Soft Mixture-of-Recursions: Going Deeper with Recursive Vision Transformers
-
OpFML: Pipeline for ML-based Operational Inference
-
Explaining Tabular Foundation Model Differences Through Meta-Features
-
DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images
-
Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation
-
TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control
-
AFFMAE: Scalable Vision Pre-Training for High-Resolution Microscopy Segmentation on Desktop Hardware
-
Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation
-
Self-Evolving Agents with Anytime-Valid Certificates
-
UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios
-
Persona Without Substrate: Regime-Dependence and the LLM Individuation Problem
-
BaRA: BFS-and-Reflection Web Data Collection Agent
-
ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis
-
NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents
-
Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
-
FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices
-
SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification
-
LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning
-
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
-
Message Passing Enables Efficient Reasoning
-
FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data
-
ActivityNarrated: An Open-Ended Narrative Paradigm for Wearable Human Activity Understanding
-
Large language model-enabled automated data extraction for concrete materials informatics
-
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
-
Benchmarking Frontier LLMs on Arabic Cultural and Sociolinguistic Knowledge: A Cross-Evaluation Framework with Human SME Ground Truth
-
Structural Pattern Mining in Inka Khipus: Unsupervised Clustering, Provenance Classification, and a Computational Validation of the Santa Valley Match
-
Multi-Turn Agentic Scientific Literature Search via Workflow Induction
-
AGC-Bench: Measuring Artificial General Creativity
-
OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning
-
A Geometric Perspective on Composable Emotion Steering in Text-to-Speech Models
-
Play Like Champions: Counterfactual Feedback Generation in Latent Space
-
Concept Alignment Contrast and Long-Short Prompt Memory for Test-Time Adaptation of SAM3 in Medical Image Segmentation
-
RareDxR1: Autonomous Medical Reasoning for Rare Disease Diagnosis Beyond Human Annotation
-
Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
-
PHREEQC-MCQ-200: A Diagnostic Benchmark for Tool-Augmented Scientific Simulator Agents
-
Two AI Metrics Diverged: Will it Make All the Difference?
-
PAPA: Online Personalized Active Preference Alignment
-
From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Grasping
-
ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition
-
Post-Training Pruning for Diffusion Transformers
-
Large language models replicate and predict human cooperation across experiments in game theory
-
Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture
-
Generating consensus and dissent on massive discussion platforms with a semantic-vector model
-
CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions
-
FairJudge: An Adaptive, Debiased, and Consistent LLM-as-a-Judge
-
Tone-Conditioned Curriculum Learning for Low-Resource Bantu Speech Recognition
-
Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings
-
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
-
Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap
-
LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment
-
CoReLIN: Constraint-based Reasoning for Zero-shot Lifelong Interactive Navigation
-
InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
-
A Reproducible Benchmark of Lightweight CNNs: Accuracy, Efficiency, and the Impact of Pretrained Initialization
-
LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
-
Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance
-
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
-
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
-
GR2 Technical Report
-
LUNA: Learning Universal 3D Human Animation Beyond Skinning
-
JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
-
Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian
-
WorldRoamBench: An Open-World Benchmark for Long-Horizon Stability of Interactive World Models
-
Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models
-
ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-Language Models
-
FLARE-AI: Flaw Reporting for AI
-
SwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation
-
One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG
-
Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation
-
LLM-Driven Personalities for Decision Making in Emergency Simulations
-
Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions
-
Citation Discipline in Spec-Driven Development: A Cross-Model Empirical Study of Output Determinism and Automated Hallucination Detection in LLM-Generated Code
-
ALM2Vec: Learning Audio Embeddings for Universal Audio Retrieval with Large Audio-Language Models
-
Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World
-
RAISE: LLM-based Automated Heuristic Design with Robust Adversary Instance Search
-
A Self-Evolving Agentic System for Automated Generation and Execution of Biological Protocols
-
FARS: A Fully Automated Research System Deployed at Scale
-
Xiaomi-GUI-0 Technical Report
-
Wisdom Of The (AI) Crowd: Investigating Artificial Swarm Intelligence In Large Language Models
-
ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents
-
Benchmarking Large Language Models on Floating-Point Error Classification
-
The Past Is Prologue: A Plug-in Controller for Selective Updates in Sequentially Evolving LLM Memory
-
DDIAgents: Mechanism-Conditioned Context Flow for Drug-Drug Interaction Prediction
-
LabGuard: Grounding Natural-Language Laboratory Rules into Runtime Guards for Embodied Laboratory Agents
-
AgentBound: Verifiable Behavioral Governance for Autonomous AI Agents
-
BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation
-
Shared Lexical Task Representations Explain Behavioral Variability In LLMs
-
Targeted Tests for LLM Reasoning: An Audit-Constrained Protocol
-
A Controlled Counterexample to Strong Proxy-Based Explanations of OOD Performance: in a Fixed Pretraining-and-Probing Setup
-
PolicyGuard: From Organizational Policies to Neuro-SymbolicCompliance Review Engines
-
WIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation
-
Direction-Magnitude Decomposition for Low-Rank Matrix Optimization: Faster Convergence and Saddle-to-saddle Dynamics
-
Certified Speculative Execution for Untrusted AI Agents
-
Quality-Aware Modulation for Diffusion Transformers
-
Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
-
Fork-Think with Confidence
-
RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
-
Mantis: Lightweight Foundation Model for Time Series Classification
-
Optimal Self-Consistency for Efficient Reasoning with Large Language Models
-
Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguistics for Dementia Detection
-
What Drives Interactive Improvement from Feedback?
-
TreeAgent: A Generalizable Multi-Agent Framework for Automated Bias Labeling in Forestry via Compiled Expert Rules and Vision-Language Models
-
When transformers learn "impossible" languages, what do they learn?
-
Curvature-Guided Module Localization for Low-Rank Detoxification of Backdoored Large Language Models
-
PruneGround: Plug-and-play Spatial Pruning for 3D Visual Grounding
-
DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers
-
Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth Tables for the Combinatorially Exploding Bit Manipulation Puzzles
-
SMART: When is it Actually Worth Expanding a Speculative Tree?
-
Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning
-
Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments
-
CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning
-
Overview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital Management
-
Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
-
FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning
-
Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning
-
REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent
-
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action
-
From Search to Synthesis: Training LLMs as Zero-Shot Workflow Generators
-
Calibrating the Evaluator: Does Probability Calibration Mitigate Preference Coupling in LLM Agent Feedback Loops?
-
Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas?
-
Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression
-
Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors
-
Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
-
OlmoEarth v1.2: A more efficient family of OlmoEarth models
-
AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance
-
MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning
-
ClawArena-Team: Benchmarking Subagent Orchestration and Dynamic Workflows in Language-Model Agents
-
CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market
-
Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision
-
DSIP: A Dynamic Coordination Planner for Signal-Free Intersections using Diffusion-Model-Based Multi-Agent Motion Planning
-
Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks
-
Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law
-
Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
-
When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue
-
LLM-as-a-judge validity in physics assessment depends more on the task than the model
-
Horseshoe Priors for Spatial Small Area Estimation: Regular Variation, Tail Robustness, and Deep Learning
-
Can Tabular In-Context Learners Generalize to Biomolecular Property Prediction?
-
Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers
-
Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
-
Fora: From Weight-Space to Function-Space Protection in Capability-Preserving Fine-Tuning
-
PPT-Eval: A Benchmark for Computer-Use Agents on PowerPoint Tasks
-
Probing Memorization of Tabular In-Context Learning
-
A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control
-
An Empirical Study of Security Calibration in Large Language Models for Code
-
Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet
-
Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents
-
Modality-Driven Search with Holistic Trace Judging for ARC-AGI-2
-
The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs
-
Towards Inclusive Mobility Modeling: Characterizing and Evaluating Elderly Trajectory Patterns in Urban Systems
-
Embodied CAD: Solver-Grounded LLM Agents for Parametric B-Rep Assembly Modeling
-
Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense
-
UniTac: A Unified Multimodal Model for Cross-Sensor Tactile Understanding and Generation
-
Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue
-
ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences
-
Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
-
Probabilistic Inversion with Flow Matching
-
CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift
-
FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers
-
MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment
-
The Contagion Tensor: A Framework for Measuring Output-Distribution Coupling in Multi-Agent LLM Systems -- and Auditing the Claims It Enables
-
Improving Patient Subtyping on Longitudinal Data using Representations from Mamba-based Architecture
-
Can AI Draw Science? A Benchmark for Evaluating Scientific Figure Generation by Text-to-Image and Multimodal Models
-
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
-
The Language You Ask In: Language-Conditioned Ideological Divergence in LLM Analysis of Contested Political Documents
-
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
-
Modeling Earth-Scale Human-Like Societies with One Billion Agents
-
Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
-
An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
-
Multimodal Mathematical Reasoning with Diverse Solving Perspective
-
Attractor States Emerge in Multi-Turn LLM Conversations
-
Accelerating scientific discovery with Co-Scientist
-
MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification
-
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
-
CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
-
Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation
-
Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation
-
Manufactured Confidence: How Memory Consolidation Turns Hearsay into Confident Facts
-
Selective Memory Retention for Long-Horizon LLM Agents
-
Interpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents
-
Unveiling Novelty Evolution in the field of Library and Information Science in China
-
Diagnosing and Mitigating Context Rot in Long-horizon Search
-
GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots
-
A Diagnostic Framework and Multi-Evaluator Audit of Evaluator-Driven Preference Dynamics in Self-Adapting LLM Agents
-
PolicyGuard: A Dialogue-Grounded Sub-Agent Verifier for Policy Adherence in LLM Agents
-
Evidence-Informed LLM Beliefs for Continual Scientific Discovery
-
Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation
-
Animation2Code: Evaluating Temporal Visual Reasoning in Video-to-Code Generation
-
PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation
-
$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering
-
DataComp-VLM: Improved Open Datasets for Vision-Language Models
-
Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
-
A Task-Driven and Quality-Assured Agent Framework for SAR Data Generation
-
How Much Due Diligence Before You Bid? Learning in Intractable Takeover Auctions
-
Benchmarking Geospatial Foundation Models for Agriculture Applications
-
Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video Generation
-
RenderFormer++: Scalable and Physically Grounded Feed-Forward Neural Rendering
-
MIRROR: Aligning Semantic Relations from Language to Image via Gromov--Wasserstein
-
Favorability of Loss Landscape with Weight Decay Requires Both Large Overparametrization and Initialization
-
Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
-
GarmentZoom: Generating Zoomable Images from Garment Listings
-
Reliability-Prioritized Fine-Grained Generation in Multimodal Large
-
HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting
-
Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
-
Momentum Guidance: Plug-and-Play Guidance for Flow Models
-
HEARTS: Benchmarking LLM Reasoning on Health Time Series
-
HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes
-
Overcoming Dependent Censoring in the Evaluation of Survival Models
-
LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing
-
Efficient Visual Pointing for Embodied AI:Agent-Driven Data Synthesis, Cross-Block Attention, and Iterative Correction
-
Spectral Gating via Damped Oscillations for Adaptive Implicit Neural Representations
-
Primary ICD Category Prediction using LLM-based Probing
-
LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents
-
ManimAgent: Self-Evolving Multimodal Agents for Visual Education
-
Scene-aware Prediction of Diverse Human Movement Goals
-
Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verification
-
Anomaly Factory 3D: A Modular Framework for Diverse Pseudo-Anomaly Synthesis in Unsupervised 3D Anomaly Detection
-
DR-GS: Physically-Based Deformable and Relightable 2D Gaussians
-
LLMography: Transforming Human-AI Conversations into Traceability, Oversight, and Auditability Indicators
-
MotionAtlas: Detailed Region Captioning for Motion-Centric Videos
-
FalconTrack: Photorealistic Auto-Labeled Perception and Physics-Aware Vision-Based Aerial Tracking
-
HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data
-
Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting
-
On the Faithfulness of Post-Hoc Concept Bottleneck Models
-
ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching
-
Rigel: Self-Distilled Score Adaptation for Image and Video Captioning Evaluation
-
A Knowledge Theory of Capital:The Value of Natural and Artificial Intelligence, Volume 1
-
TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation
-
EvLIR: Learning Illumination Residuals from Ordered Events for Low-Light Image Enhancement
-
LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Features
-
wav2VOT: Automatic estimation of voice onset time, closure duration, and burst realisation with wav2vec2
-
Developmental Trajectories of Situation Modeling and Mentalizing in Transformer Language Models
-
The strength of clinical evidence is recoverable from language model representations but not from their stated grades
-
TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs
-
SEATauBench: Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages
-
Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model
-
The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning
-
Conversational Domain Adaptation of IndicTrans2 across 21 Indic Languages via Experience Replay and Model Soups
-
Knowing in Advance When an Evolutionary Outer Loop Will Not Help: A Pre-Registered Cheap-Baseline Screening Rule
-
How LLMs See Creativity: Zero-Shot Scoring of Visual Creativity with Interpretable Reasoning
-
SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
-
Timesteps of Mamba Align with Human Reading Times
-
EntroRouter: Learning Efficient Model Routing via Entropy Regulation
-
Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency
-
LC-ICL: Label-Guided Contrastive In-Context Learning for Robust Information Extraction
-
IHDec: Divergence-Steered Contrastive Decoding for Securing Multi-Turn Instruction Hierarchies
-
Fast Numbers, Slow Language: Bridging Quantitative and Qualitative Earnings Signals
-
Grounding LLM Reasoning under Incomplete Graph Evidence
-
TRACE: Temporal Relationship-Aware Conversational Entrainment Detection in Dyadic Speech
-
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
-
Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
-
VCS-SLAM: Geometry-Validated Semantic Evidence Fusion for 3D Gaussian SLAM
-
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment
-
When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets
-
StrucTab: A Structured Optimization Framework for Table Parsing
-
Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors
-
SICAGE: Speaker-Independent Culture-Aware Gesture Generation using TED4C-L Dataset
-
Shell-Supervised Gaussian Splatting for Urban Real-to-Sim Reconstruction
-
SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation
-
UniCA: Bi-directional Cross-Attention with Positive Similarity Loss for Robust Multi-Modal Retrieval
-
VIB-AVSR: Variational Information Bottleneck for Noise-Robust LLM-Based Audio-Visual Speech Recognition
-
AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders
-
FAIL: Flow Matching Adversarial Imitation Learning for Image Generation
-
How Far Do On-Prem Open LLMs Get on Text-to-SQL? A Cross-Family Size x Technique Frontier on BIRD
-
Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
-
LoGSAM: Parameter-Efficient Cross-Modal Grounding for MRI Segmentation
-
Blackknife: Hard-Label Query-Limited Black-Box Attacks on Heterogeneous Graph Neural Networks
-
Zero-Gated Language-conditioned Human Motion Prediction
-
CAREBench: A Child-Safety Risk Benchmark for Language Models
-
Theory of Continual Learning Against Data Poisoning Attacks
-
Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns
-
DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model
-
Predict, Reuse, and Repair: Accelerating Dynamic Sparse Attention for Long-Context LLM Decoding
-
Beyond IID: How General Are Tabular Foundation Models, Really?
-
Experience Augmented Policy Optimization for LLM Reasoning
-
MuonSSM: Orthogonalizing State Space Models for Sequence Modeling
-
TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies
-
Structural Certification for Reliable Physical Design with Language Models
-
Shoot from the HIP: Hessian Interatomic Potentials without derivatives
-
BrepLLM: Enabling Large Language Models to Understand Boundary Representations
-
Friend or Foe
-
AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills
-
Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration
-
RIPA: Sensory-Vector Prompt Injection Attacks on LLM-Controlled ROS 2 Robots
-
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation
-
AnyBody: Free-Form Whole-Body Humanoid Control from Arbitrary Keypoint Guidance
-
SAKE: Software Architectural Knowledge Evaluation Benchmark for Large Language Models
-
SemJoin: Semantic Join Optimization
-
TopoAgent: An Agentic Framework for Automated Topology Learning in Medical Imaging
-
LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training
-
CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning
-
SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces
-
FlatLands: Generative Floormap Completion From a Single Egocentric View
-
CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
-
Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents
-
PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation
-
CLIMP: Contrastive Language-Image Mamba Pretraining
-
Meshtryoshka: Differentiable Rendering of Real-World Scenes via Mesh Rasterization
-
Obliviate: Erasing Concepts from Autoregressive Image Generation Models
-
Mural: Transferring LLM knowledge to image generation via Mixture-of-Transformers
-
Depth Exploration for LLM Decoding
-
L2D2-GS: Learning to Densify for Feedforward Dynamic Gaussian Scene Reconstruction
-
Open but Incompatible: A License Compatibility Analysis of Corpora for Low-Resource African Languages
-
Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi
-
Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting
-
Fast Wireless Foundation Models with Early-Exits
-
A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP
-
PS-MOT: Cultivating Instance Awareness from Point Seeds for Multi-Object Tracking
-
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms
-
Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision
-
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration
-
EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal
-
From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution
-
Dual-End Consistency Model
-
Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating
-
Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation
-
Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding
-
RefAlign: Representation Alignment for Reference-to-Video Generation
-
SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning
-
BERTomelo: Your Portuguese Encoder Best Friend
-
How much of an LLM-generated clinical corpus is actually new? A production-scale measurement of content redundancy for provenance classification
-
Hybrid Retriever Evolution for Multimodal Document Reasoning Agents
-
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
-
COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies
-
GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
-
To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
-
The Complexity Ceiling Benchmark: A Multi-Domain Evaluation of Sequential Reasoning Under Depth Scaling
-
Mandol: An Agglomerative Agent Memory System for Long-Term Conversations
-
Self-Evolving World Models for LLM Agent Planning
-
OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale
-
Sparse Autoencoders are Capable LLM Jailbreak Mitigators
-
GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
-
Towards Evaluating Data Priors for Tabular Foundation Models
-
GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks
-
Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka
-
Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
-
ImprovEvolve: Basin-Hopping Meets LLM-Guided Evolutionary Search
-
Cross-Modal Iteration Distillation for Robust IHD Screening: The IDNet Framework and A New Benchmark
-
See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMs
-
LEIQ-Assessor: Multi-dimensional Quality Assessment of Low-light Enhanced Images via Multi-task Learning
-
Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views
-
Benchmark AUC Is Not Deployable Reliability: A Cross-Dataset Audit of Off-the-Shelf Features for Surveillance Video Anomaly Detection
-
Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources
-
SVC-Probe: A Framework for Evaluating Perturbation Generalization in Spatial Foundation-Model Embeddings
-
Digitizing Coaching Intelligence: An Agentic Framework for Holistic Athlete Profiling using VLM and RAG
-
X-Mind: Efficient Visual Chain-of-Thought via Predictive World Model for End-to-End Driving
-
UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception
-
A Deep Multiscale Neural Network for Accurate Neurological Disorder Detection from MRI Scans and Real-Time Web Deployment
-
ReMAP-PET: Beyond Visual Understanding -- Learning Region-Guided Metabolic Alignment Semantics from Brain PET
-
Cross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance
-
One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models
-
Early Warning Signals for OpenVLA Failure under Visual Distribution Shift
-
RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines
-
FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images
-
Orca: The World is in Your Mind
-
GraphChase: A Platform and Benchmark for Urban Network Security Games
-
StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley
-
SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents
-
EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics
-
EfficientUICoder: A Bidirectional Token Compression Framework for Efficient MLLM-Based UI Code Generation
-
Diff-Based Code Corruption using LLMs for Large-Scale Bugfix Benchmarking
-
A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis
-
Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation
-
ExACT: Exemplar-Driven Calibrated Refinement for Training-Free Visual Grounding in Remote Sensing Images
-
Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution
-
W4A4 Quantization for Inference on Wan2.2-I2V-A14B
-
Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model
-
Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
-
A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage
-
Leader Reward for POMO-Based Neural Combinatorial Optimization
-
Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
-
High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator
-
MARS: A neurosymbolic approach for interpretable drug discovery
-
PlantExpertVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science
-
LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation
-
Demonstration-Free Robotic Control via LLM Agents
-
Latent Noise Mask for Reducing Visual Redundancy in Multimodal Large Language Models
-
When Web Agents Finish but Still Fail: Reproducible Triggers and Trace Diagnostics for Parallel Web Exploration
-
IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations
-
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories
-
An AI agent for treatment reasoning over a biomedical tool universe
-
Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing
-
Agentic Abstention: Do Agents Know When to Stop Instead of Act?
-
HiComm: Hierarchical Communication for Multi-agent Reinforcement Learning
-
When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
-
SFBench: The SciFy Scientific Feasibility Benchmark
-
The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models
-
MirrorCode: AI can rebuild entire programs from behavior alone
-
Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents
-
It Lied to a Doctor to Buy Poison Ingredients: Quantifying Real-World Misuse of Phone-use Agents
-
When Medical Safety Alignment Fails: A Benchmark for Evaluating LLMs on High-Risk Medical Queries
-
Implementation of Hyperelastic Physics-Augmented Neural Networks in the Explicit Finite Element Codes Simcenter Radioss and OpenRadioss with Applications to Impact Events
-
Rethinking Generative Reconstruction Attacks against Graph Neural Network Models
-
Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop
-
A Machine-Verified Proof of a Quantum-Optimization Conjecture
-
Exploring the Cryptographic Limits of Transformer Networks
-
AEGIS: A Semantic GAN and Evidential Learning Frameworkfor Robust Adversarial Detection in Vision Sensors
-
Governance Decay: How Context Compaction Silently Erases Safety Constraints in Long-Horizon LLM Agents
-
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics
-
UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation
-
How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation
-
Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty
-
DEEPMED Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective Verification
-
LUMEN: Cost-Transparent Multi-Agent Pipeline for Automated Systematic Review and Meta-Analysis
-
Low-cost concept-based localized explanations: How far can we get with training-free approaches?
-
Machine Learning-Augmented Acceleration of Iterative Ptychographic Reconstruction
-
FreqOrtho-SR: Frequency-Guided Orthogonal Expert Learning for Real-World Image Super-Resolution
-
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models
-
SABER-Math: Automated Benchmark for Information Retrieval Evaluation in Mathematics
-
Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)
-
Can Fine-Tuning Erase Your Edits? On the Fragile Coexistence of Knowledge Editing and Adaptation
-
BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
-
Proof-of-Guardrail in AI Agents and What (Not) to Trust from It
-
Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL
-
FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization
-
Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B
-
ThinkProbe: Beyond Accuracy -- Structural Profiling of Open-Ended LLM Reasoning Traces via Non-Generative Thought Graphs
-
Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?
-
BrainRiem: Riemannian Prototype Learning for Source-Free Cross-Site Brain Network Diagnosis
-
Prototype Latent World Model Replay for Class-Incremental Learning
-
Fuzzing Large Language Models to Elicit Hidden Behaviours
-
Schema-First Retrieval: Embedding Catalogs for Natural Language Analytics
-
What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics
-
One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
-
RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning
-
A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy
-
Reproducing FACTER: Fairness via Conformal Thresholding and Prompt Repair
-
HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers
-
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
-
Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task?
-
Bidirectional Autoregressive Latent Diffusion for Forward and Inverse Magnetohydrodynamics
-
ScAle: Attention Head Scaling as a Minimal Adapter for Spatial Reasoning in Vision Language Models
-
Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking
-
fev-bench: A Realistic Benchmark for Time Series Forecasting
-
CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score
-
SCARCE: Scalable Cascade Analysis for Rare-event Characterisation via Embeddings
-
Latent Bridges for Multi-Table Question Answering
-
Deep Image Prototype Learning with Geometric Heat-Kernel Priors
-
General and Efficient Steering of Diffusion Models
-
Audio-Visual Continual Test-Time Adaptation without Forgetting
-
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
-
HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression
-
Closing the Activation-Cone Blind Spot: Response-Time Probing and Unified Defense
-
Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies
-
Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and Generation
-
Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition
-
SamatNext v0.2-B: An Exploratory Study of RMS-Normalized Hybrid Decoders for Curriculum Retention in Small Code Models
-
Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models
-
DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
-
COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models
-
KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory
-
AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification
-
Reported Confidence in LLMs Tracks Commitment More Than Correctness
-
SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions
-
VISTA-DZ: Visual Semantic Trajectory Adaptation for Personalized Dilemma Zone Prediction
-
SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing
-
Dynamo: Dynamic Skill-Tool Evolution for Vision-Language Agents
-
PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning
-
Online Data Selection for Instruction Tuning via Gaussian Processes
-
KnowsTFM: Knowledge-Informed Fine-Tuning of Small Tabular Foundation Models
-
Diffusion Fine-tuning with Rewarded Moment Matching Distillation
-
TraceLab: Characterizing Coding Agent Workloads for LLM Serving
-
FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks
-
CELEUS: Certifiable and Efficient LLM Evaluation via E-Processes
-
OGPO: Sample Efficient Full-Finetuning of Generative Control Policies
-
From Detection to Action: Using LLM Agents for Fault-Tolerant Control
-
Democratic ICAI: Debating Our Way to Steering Principles from Preferences
-
Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection
-
Accelerating Hierarchical Sparse Predictive Coding with Hybrid Amortized Inference
-
COOPA: A Modular LLM Agent Architecture for Operations Research Problems
-
Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis
-
Sampling the Schwinger Model with Gauge-Equivariant Diffusion
-
ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models
-
Quantum Generative Diffusion Model for Real-World Time Series
-
StableMotion: One-Step Motion Estimation with Diffusion Prior
-
RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning
-
CSD: Content-aware Speculative Decoding for Efficient Image Generation
-
Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentation
-
ScaLe-INR: Scale and Learn Implicit Neural Representations
-
MindFlow: Harmonizing Cognitive Semantics and Acoustic Dynamics for Facial Animation Generation in Dyadic Conversations
-
EchoSonar-R: A Multi-View Reasoning-Enabled Model for Disease Classification and Report Generation in Echocardiography
-
OrthoTryOn: Geometric Orthogonalization for Conflict-Free Unified Fashion Generation
-
Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents
-
SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction
-
Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment
-
Low-Agreeableness Persona Conditioning for Safe LLM Fine-Tuning
-
From Black-Box to Clinical Insight: A Multi-Stage Explainable Framework for Speech-Based Cognitive Impairment Detection
-
MLVC: Multi-platform Learned Video Codec for Real-World Deployment
-
HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration
-
Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters
-
PRISON: Unmasking the Criminal Potential of Large Language Models
-
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
-
GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models
-
When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
-
From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales
-
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
-
SpaceDG: Benchmarking Spatial Intelligence under Visual Degradation
-
Multimodal Evaluator Preference Collapse: Cross-Modal Coupling in Self-Evolving Agents
-
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
-
Textual Belief States for World Models: Identifiable Representation Learning Under Strict Mediation
-
SelectAnyTree: A Promptable Instance Segmentation Model for 3D Forest LiDAR Point Clouds
-
MVPruner: Dynamic Token Pruning for Accelerating Multi-view Vision-Language Models in Autonomous Driving
-
Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
-
Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents
-
MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation
-
SidConArena: An Environment Evaluating Agents in Open-Ended,Positive-Sum Bargaining Game
-
Global Explanations for Multivariate Time Series Forecasting Models via $K$-Order Markov Approximations
-
Cross-Platform Chinese Offensive Comment Detection via Dual-Threshold Hard Example Mining
-
Mitigating LLM-based p-Hacking by Preregistering for the Next LLM
-
Position Bias Correction is Insufficient for One-Pass Attention Sorting
-
VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring
-
OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators
-
Agentic Hardware Design as Repository-Level Code Evolution
-
Self-Stigma Is Not a Monolith, but Generic Empathy Is: Persona-Conditioned LLM Support for People Who Use Drugs
-
ReWorld: Learning Better Representations for World Action Models
-
NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning
-
FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks
-
Are Time-Series Foundation Models Ready for E-Nose Data? An Empirical Assessment of Their Embeddings
-
KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems
-
Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?
-
Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
-
Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026
-
DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection
-
ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents
-
Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
-
DexCompose: Reusing Dexterous Policies for Multi-Task Manipulation with a Single Hand
-
Symmetry-Aware Transformer Training for Automated Planning
-
Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
-
SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms
-
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
-
Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling
-
VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models
-
DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums
-
HumanMoveVQA: Can Video MLLMs reason about human movement in videos?
-
EMOSH: Expressive Motion and Shape Disentanglement for Human Animation
-
Agentic Episodic Control
-
LieSolver: PDE-Constrained Learning for IBVPs via Lie Symmetries
-
Scene and Human in One World: Reconstruction in a Feedforward Pass
-
PerturbCellRL: Verifier-Guided Reinforcement Learning for Single-Cell Perturbation Prediction
-
CANNs: A Toolkit for Research on Continuous Attractor Neural Networks
-
Understanding Rollout Error in Graph World Models
-
RSD: Moving Local Triangular Charts for Auditing Language-Model Hidden States
-
An Empirical Analysis of Factual Errors in Human-Written Text and its Application
-
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
-
When Does Personality Composition Matter for Multi-Agent LLM Teams?
-
DIM-WAM: World-Action Modeling with Diverse Historical Event Memory
-
Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphs
-
MultiHashFormer: Hash-based Generative Language Models
-
SHIFT: Gate-Modulated Activation Steering for Knowledge Conflict Mitigation in Retrieval-Augmented Generation
-
Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design
-
Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models
-
From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond
-
PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion
-
CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations
-
CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models
-
Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
-
The Context-Ready Transformer
-
PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration
-
From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models
-
Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety
-
AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration
-
CALIBURN: Operationally Calibrated Streaming Intrusion Detection with Regime-Dependent Conformal Risk Control
-
Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision
-
Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting
-
Batch-Invariant Spectral Intelligence for Robust and Explainable Insect Authentication
-
When Role-playing, Do Models Believe What They Say?
-
Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes
-
Multilingual Reasoning Cascades Need More Context
-
Epiphany-Aware KV Cache Eviction Without the Attention Matrix
-
HyperDFlash: MHC-Aligned Block Speculative Decoding with Gated Residual Reduction
-
NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
-
Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork
-
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
-
Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
-
Localizing RL-Induced Tool Use to a Single Crosscoder Feature
-
HauntAttack: When Attack Follows Reasoning as a Shadow
-
Where Larger Models Excel: The Primacy of Constraint-Guided Reasoning
-
Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context
-
DualEval: Joint Model-Item Calibration for Unified LLM Evaluation
-
ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery
-
Not All Proofs Are Equal: Evaluating LLM Proof Quality Beyond Correctness
-
CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams
-
Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training
-
Accelerated sampling using SamAdams variable timesteps and position-adaptive Langevin dynamics
-
KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction
-
From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP
-
HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization
-
Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification
-
LLM-based Models for Detecting Emerging Topics in Service Feedback
-
LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography
-
AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
-
scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
-
In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics
-
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
-
Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
-
Rotary Position Encodings for Graphs
-
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
-
Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
-
LISA: Likelihood Score Alignment for Visual-condition Controllable Generation
-
RoPEMover: Depth-Aware Object Relocation via Positional Embeddings
-
PrivacyBench: Privacy Isn't Free in Hybrid Privacy-Preserving Vision Systems
-
Mesh-RL: Coupled subgrid reinforcement learning
-
A Generalization Theory for JEPA-Based World Models
-
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
-
Life After Benchmark Saturation: A Case Study of CORE-Bench
-
The Verification Horizon: No Silver Bullet for Coding Agent Rewards
-
Autoformalization of Agent Instructions into Policy-as-Code
-
SOLAR: AI-Powered Speed-of-Light Performance Analysis
-
TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation
-
Investigating LLM's Problem Solving Capability -- a Study on Statics Questions
-
Charting the Growth of Social-Physical HRI (spHRI): A Systematic Review Pipeline Augmented by Small Language Models
-
ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence
-
Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist
-
An Empirical Study of LLM-Generated Specifications for VeriFast
-
LAMP: Lane-Aligned Motion Primitives for Feasible Trajectory Prediction
-
Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare
-
The Open Source Economic Index of AI Adoption and Capability
-
A unifying view of contrastive learning, importance sampling, and bridge sampling for energy-based models
-
Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models
-
Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning -- The Limit of the Scaling Law
-
WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation
-
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization
-
Robust Onion: Peeling Open Vocab Object Detectors Under Noise
-
NaviCache: Test-Time Self-Calibration Caching for Video Generation
-
SamaVaani: Auditing and Debiasing Multilingual Clinical ASR for Indian Languages
-
Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs
-
ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models
-
S2P-Net: A Spectral-Spatial Polar Network for Rotation-Invariant Object Recognition in Low-Data Regimes
-
Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQA
-
HierBias: Context-Conditioned Hierarchical Media Bias Detection with Multi-Task Type Classification
-
ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent
-
Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs
-
Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT
-
GAVEL: Grounded Caption Error Verification and Localization
-
Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning
-
Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models
-
What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations
-
PhyEditBench: A Real-World Multi-Stage Benchmark for Physics-Aware Image Editing
-
Neural Texture Compression using Hypernetworks
-
PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models
-
SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing
-
TraMP-LLaMA: Generative Interpretability with Decoupled Instruction Tuning for Facial Expression Quality Assessment
-
SAM2Matting: Generalized Image and Video Matting
-
auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation
-
OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents
-
Detecting and Controlling Sycophancy with Cascading Linear Features
-
DMuon: Efficient Distributed Muon Training with Near-Adam Overhead
-
Beyond Surface Forms: A Comprehensive, Mechanism-Oriented Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection
-
Generating Special Triangulations with Transformers
-
One Voice, Many Tongues: Cross-Lingual Voice Cloning for Scientific Speech
-
EGG: An Expert-Guided Agent Framework for Kernel Generation
-
Vulnerability of Natural Language Classifiers to Evolutionary Generated Adversarial Text
-
The Capability Frontier: Benchmarks Miss 82% of Model Performance
-
Know2Guess: A Contamination-Aware Multi-Zone Benchmark for Knowledge-Boundary Evaluation in Large Language Models
-
Context Recycling for Long-Horizon LLM Inference
-
Benchmarking Open-Weight Foundation Models for Global AI Technical Governance
-
Extracting Neural Materials from Multi-view Images
-
AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
-
Joint Learning of Experiential Rules and Policies for Large Language Model Agents
-
Chai: Agentic Discovery of Cryptographic Misuse Vulnerabilities
-
ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP
-
LiMoDE: Rethinking Lifelong Robot Manipulation from a Mixture-of-Dynamic-Experts Perspective
-
TEMPO-Diffusion: Temporally Exposed Malicious Poisoning of Diffusion Models
-
SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning
-
AXLE: A Cloud Infrastructure for Lean 4 Theorem Proving Utilities
-
Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs
-
Discovering Millions of Interpretable Features with Sparse Autoencoders
-
TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing
-
Bridging Vision and Language Concepts through Optimal Transport Semantic Flow
-
A Deterministic Control Plane for LLM Coding Agents
-
Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model
-
PhysiFormer: Learning to Simulate Mechanics in World Space
-
TaskNPoint: How to Teach Your Humanoid to Hit a Backhand in Minutes
-
Fast LeWorldModel
-
Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution
-
Agentic Analysis for Agentic Infrastructure: An LLM-Powered Pipeline for Comparative Governance of DAO and Corporate AI Protocols
-
COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami
-
6 Fingers, 1 Kidney: Natural Adversarial Medical Images Reveal Critical Weaknesses of Vision-Language Models
-
Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries
-
Autoregressive Boltzmann Generators
-
SciFig: Towards Automating Editable Figure Generation for Scientific Papers
-
Finding the Time to Think: Learning Planning Budgets in Real-Time RL
-
Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures
-
Soft Token Alignment for Cross-Lingual Reasoning
-
Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
-
Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking
-
FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following
-
Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension
-
Structure Before Collapse: Transient semantic geometry in next-token prediction
-
Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries
-
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
-
Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data
-
OpenRCA 2.0: From Outcome Labels to Causal Process Supervision
-
RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations
-
Generative Models on Analog Hardware with Dynamics
-
Reasoning Quality Emerges Early: Data Curation for Reasoning Models
-
Ramanujan Graph Rewiring with Non Negative Resistance Curvature
-
A Flow-rate-conserving CNN-based Domain Decomposition Method for Blood Flow Simulations
-
Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety
-
Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets
-
Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents
-
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding
-
Homogeneity Bias in Open-Weight LLMs Is Robust to Decoding Hyperparameters
-
Speech Codec Probing from Semantic and Phonetic Perspectives
-
Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels
-
CauScale: Neural Causal Discovery at Scale
-
MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
-
Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection
-
What Do Language Priors Contribute to Darcy-Flow Inversion? A Mechanistic Audit
-
ExTra: Exploratory Trajectory Optimization for Language Model Reinforcement Learning
-
Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration
-
Erased, but Not Gone: Output Forgetting Is Not True Forgetting
-
Scalable Peptide Design via Memory-Efficient Equivariant Transformer
-
Multi-Stream Temporal Fusion for Financial Fraud Detection
-
EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression
-
Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
-
ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models
-
MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources
-
FactorLibrary: From Polynomials to Circuits via Recursive Subgoals
-
Towards Robust EEG Decoding Based on Riemannian Self-Attention
-
Distill on a Diet: Efficient Knowledge Distillation via Learnable Data Pruning
-
Benchmarking Vision-Language Models for Microscopic Plant Image Understanding
-
SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion
-
Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning
-
TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU
-
Curvature-Guided Mixing for MLLM Adaptation
-
TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems
-
FUTO Swipe: Layout-Agnostic Neural Swipe Decoding
-
Concept Removal for Frontier Image Generative Models
-
WinDOM: Self-Family Distillation for Small-Model GUI Grounding
-
InvestPhilBench: A Multi-Layer Dynamic Benchmark for Evaluating Large Language Model Procedural Reasoning in Expert Investment Philosophy
-
Blasto-Net: An Explainable Multi-Task Learning for Blastocyst Segmentation, Grading, and Implantation Prediction
-
Estimating condition number with Graph Neural Networks
-
Clifford Kolmogorov-Arnold Networks
-
PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution
-
A Probabilistic Framework for LLM-Based Model Discovery
-
Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
-
Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
-
Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents
-
TensorLDM: A Component-Wise Latent Diffusion Model for Volumetric DTI Reconstruction from Sparse DWIs
-
Steering Vision-Language Models with Joint Sparse Autoencoders
-
AMVICC: A Novel Benchmark for Cross-Modal Failure Mode Profiling for VLMs and IGMs
-
Memory Contagion: Cross-Temporal Propagation of Evaluator Bias via Agent Memory
-
When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification?
-
Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks
-
MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI
-
A Controlled Study of CLIP-Based Body-Scene Fusion for Emotion Recognition in Context
-
C3-Bench: A Context-Aware Change Captioning Benchmark
-
FreeStory: Training-Free Character Consistency for Free-Form Visual Storytelling
-
LEVIRDet: A Million-Scale 159-Category Dataset and Foundation Model for Universal Remote Sensing Object Detection
-
Beyond Visual Forensics: Auditing Multimodal Robustness for Synthetic Medical Image Detection
-
HG-Bench: A Benchmark for Multi-Page Handwritten Answer-Region Grounding in Automated Homework Assessment
-
PatchINR: Patch-Based Implicit Neural Representations for Efficient and Scalable Inference
-
FeVOS: Foresight Expression Video Object Segmentation
-
ShutterMuse: Capture-Time Photography Guidance with MLLMs
-
EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis
-
Falcon: Functional Assembly and Language for Compositional Reasoning in X-ray
-
LinStereo: Linear-Complexity Global Attention for Multi-Scale Iterative Stereo Matching
-
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery
-
ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving
-
An Improved Variational Method for Image Denoising
-
ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching
-
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
-
AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents
-
What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics
-
Improved Large Language Diffusion Models
-
HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks
-
LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges
-
Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents
-
Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning
-
Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing
-
Story Operators: Decomposing the Original $\to$ Sequel Transformation in Embedding Space
-
Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence
-
BiPACE: Bisimulation-Guided Policy Optimization with Action Counterfactual Estimation for LLM Agents
-
Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect
-
Optimizing Abstractive Summarization With Fine-Tuned PEGASUS
-
MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction
-
Riazi-8B: An Urdu Large Language Model for Mathematical Reasoning
-
SpeechEQ: Benchmarking Emotional Intelligence Quotient in Socially Aware Voice Conversational Models
-
Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models
-
AI translation of literary texts is "fine", but readers still prefer human translations
-
Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning
-
Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models
-
Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data?
-
Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors
-
Project Auto-World: Towards Automated Benchmarking of Neural Relational Reasoners
-
Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
-
VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks
-
Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection
-
Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
-
Measuring Research Difficulty of Academic Papers: A Case Study in Natural Language Processing
-
RAS: Measuring LLM Safety Through Refusal Alignment
-
Neural operator-based digital twins for modeling amyloid-$\beta$ and tau propagation and treatment optimization in Alzheimer's disease
-
Are We There Yet? Exploring the Capabilities of MLLMs in Assistive AI Applications
-
Graph-Based Phonetic Error Correction of Noisy ASR
-
RotRNN: Modelling Long Sequences with Rotations
-
Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability
-
HaineiFRDM: Structure-Preserving Diffusion for Film Restoration under Fast Motion and Diverse Defects
-
The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee
-
GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
-
Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints
-
OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning
-
Invisible to humans, visible to machines: a preregistered audit of Unicode fidelity across four biomedical bibliographic APIs
-
Do Thinking Tokens Help with Safety?
-
How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World
-
TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints
-
Knowledge-Graph Grounding Helps LLMs Only for Out-of-Training Knowledge: A Controlled Study on Clinical Question Answering
-
CANDLE: Character-level Arabic Noise Deduplication using Lightweight Encoder
-
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
-
Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction
-
VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency
-
CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation
-
The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking
-
To Compare, or Not to Compare: On Methodological Practices in Evaluating Social Bias
-
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?
-
Layer-wise Probing of wav2vec 2.0 and Whisper for Consonant Cluster Reduction in African American English
-
D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities
-
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
-
BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases
-
DiffusionBench: On Holistic Evaluation of Diffusion Transformers
-
DDStereo: Efficient Dual Decoder Transformers for Stereo 3D Road Anomaly Detection
-
PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments
-
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization
-
SignNet-1M: Large-Scale Multilingual Sign Language Video Dataset with Downstream Benchmarks
-
From Open Waters to Enclosed Cabins: ProteusVPR for Cross-Scene Visual Place Recognition in Maritime Perception and Cabin Inspection
-
MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving
-
REALM: A Unified Red-Teaming Benchmark for Physical-World VLMs
-
MATCH: Flow Matching for Multi-View Anomaly Detection
-
AI Fiction in the Wild
-
S1-Omni-Image: A Unified Model for Scientific Image Understanding, Generation, and Editing
-
TuringViT: Making SOTA Vision Transformers Accessible to All
-
Latent Visual States for Efficient Multimodal Reasoning
-
HANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models
-
Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Knowledge Graph Rules
-
Spectral Evolution-Guided Token Pruning in Multimodal Large Language Models
-
DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model
-
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
-
2.5-D Decomposition for LLM-Based Spatial Construction
-
Flood Mapping from RGB imagery using a Vision Foundation Model
-
PixJail: Self-Evolving Paper-to-Pipeline Reproduction for Text-to-Image Jailbreak Evaluation
-
E-MRL: Cross-view Aligned Evidence-driven Multimodal Reinforcement Learning for Reliable 3D Tumor Analysis
-
DramaDirector: Geometry-Guided Short Drama Generation
-
On the Stability of Prompt Ranking in Large Language Model Evaluation
-
Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy
-
AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming
-
Pigeonholing: Bad prompts hurt models to collapse and make mistakes
-
NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation
-
A global log for medical AI
-
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
-
Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations
-
video-SALMONN-R$^3$: Learning to ReWatch, ReAsk, and ReAnswer for Efficient Video Understanding
-
EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence
-
Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment
-
EPEdit: Redefining Image Editing with Generative AI and User-Centric Design
-
Are We Ready For An Agent-Native Memory System?
-
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering
-
Weight-Space Geometry of Offline Reasoning Training
-
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search
-
ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation
-
RAVEN: A Regime-Aware Variable-context Expert Network for Financial Time Series Forecasting
-
Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning
-
An LLM-based Two-Stage Transformer Framework for Cross-Domain Bearing Fault Diagnosis with Limited Data
-
Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment
-
FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction
-
Grad Detect: Gradient-Based Hallucination Detection in LLMs
-
BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
-
A P\={a}ninian Foundation for Indic Language Processing
-
CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression
-
Harmonic: Hierarchical State Space Models for Efficient Long-Context Language Modeling
-
RASC+: Retrieval-Constrained LLM Adjudication for Clinical Value Set Authoring
-
Experiments with Optimal Model Trees
-
SEAL: Searching Expandable Architectures for Incremental Learning
-
Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining
-
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning
-
Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control
-
L3Cube-MahaPOS: A Marathi Part-of-Speech Tagging Dataset and BERT Models
-
Polaris: A Godel Agent Framework for Small Language Models through Experience-Abstracted Policy Repair
-
Sakana Fugu Technical Report
-
Decentralized SGD with Controlled Disagreement Finds Flatter Minima
-
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
-
Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
-
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
-
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
-
Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation
-
Can Scale Save Us From Plasticity Loss in Large Language Models?
-
ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling
-
Age of LLM: A Strategic 1v1 Benchmark for Reasoning, Diplomacy and Reliability of Large Language Models under Fog of War
-
AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability
-
Decentralised AI Training and Inference with BlockTrain
-
CompressKV: Semantic-Retrieval-Guided KV-Cache Compression for Resource-Efficient Long-Context LLM Inference
-
LLMs Prompted for Legal Context Object More: Overrefusal from Small On-Premises LLMs in Criminal Legal Context
-
BluTrain: A C++/CUDA Framework for AI Systems
-
Beyond the Autoregressive Horizon: A Comprehensive Survey of Diffusion Models, World Modelling, and State Space Models for Code
-
Quantifying Prior Dominance in RAG Systems
-
JupOtter: Cell-Level Bug Detection in Jupyter Notebooks
-
EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding
-
Robust and Fast Training via Per-Sample Clipping
-
Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets
-
Zero-Shot Neural Priors for Generalizable Cross-Subject and Cross-Task EEG Decoding
-
PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models
-
MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment
-
Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation
-
Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers
-
VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification
-
T2D-Bench: Evidence-Gated Evaluation of LLM Outputs for Type 2 Diabetes Using a Multi-Layer Clinical-Lifestyle Knowledge Graph
-
SP-Mind: An Autonomous Reasoning Agent for Spatial Proteomics Analysis
-
LemonHarness Technical Report
-
ATRIA: Adaptive Traceable ECG Reporting with Iterative Agents
-
Cycle-Consistent Neural Explanation of Formal Verification Certificates
-
Aligning Audio Captions with Human Preferences
-
Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
-
A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial
-
Metis: Bridging Text and Code Memory for Self-Evolving Agents
-
Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams
-
SER: Learning to Ground Video Reasoning with Semantic Evidence Rewards
-
NavWM: A Unified Navigation World Model for Foresight-Driven Planning
-
TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents
-
Dynamic Execution Commitment of Vision-Language-Action Models
-
MapReason-OSM: Can Vision-Language Models Make Graph-Verifiable Mobility Decisions from Street Maps ?
-
Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning
-
AutoSpecNER: A Fine-Grained Named Entity Recognition Dataset for Vehicle Specification Extraction
-
Qwen-AgentWorld: Language World Models for General Agents
-
SHERLOC: Structured Diagnostic Localization for Code Repair Agents
-
EvidenceLens: A Claim-Evidence Matrix for Auditing Financial Question Answering
-
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
-
HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
-
LaGO: Latent Action Guidance for Online Reinforcement Learning
-
Scaling Laws for Task-Specific LLM Distillation
-
Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution
-
HOLMES: Evaluating Higher-Order Logical Reasoning in LLMs
-
CALIBER: Calibrating Confidence Before and After Reasoning in Language Models
-
LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
-
JustDiag!: A Diagnostic Justification Engine for Accountable Root Cause Analysis
-
NRITYAM: Language Models Meet Art and Heritage of Dance
-
StreamKL: Fast and Memory-Efficient KL Divergence for Boosting Attention Distillation
-
The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse
-
Contagion Networks: Evaluator Bias Propagation in Multi-Agent LLM Systems
-
MassSpecGym in the Wild: Uncovering and Correcting Evaluation Pitfalls in AI-Driven Molecule Discovery
-
AgentArmor: A Framework, Evaluation, \& Mitigation of Coding Agent Failures
-
CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia
-
LaViSA: A Language and Vision Structural Ambiguity Benchmark
-
PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback
-
JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines
-
Gaussian Process Prior Variational Autoencoder for Endoscopic Videos
-
BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models
-
GenTrack: A New Generation of Multi-Object Tracking
-
Does Head Pose Correction Improve Biometric Facial Recognition?
-
Emyx: Fast and efficient all-atom protein generation
-
VERITAS: Verifier-Guided Proof Search for Zero-Shot Formal Theorem Proving
-
Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix
-
FlowFake: Liquid Networks for Audio Deepfake Detection
-
The Hidden Environmental Cost of Poor Coding Practices in TensorFlow and Keras Applications: A Study on Resource Leaks and Carbon Emissions
-
GEMS: Geometric Constraints Enable Multi-Semantic Superposition in LLMs
-
TerraMARS: A Domain-Adapted Small-Language-Model Pipeline for Mars Terraforming Literature
-
Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship
-
Actionable Activation Directions for Detecting and Mitigating Emergent Misalignment Across Language Model Families
-
Human-like autonomy emerges from self-play and a pinch of human data
-
Capturing Intransitive Dominance in Tennis Forecasting: A Graph Neural Network Approach
-
Minimal Filling Architectures of Polynomial Neural Networks: Counterexamples, Frontier Search, and Defects
-
QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem
-
Low-Burden Data Augmentation for Dysarthric ASR via Zero-Shot Voice Cloning
-
Pseudo-Feature Padding: A Lightweight Defense Against False Data Injection in Power Grids
-
A Deep Generative Model for Resting-State EEG Synthesis and Transferable Representation Learning
-
IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources
-
MakeupMirror: Improving Facial Attribute Preservation in Diffusion Models for Makeup Transfer
-
AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models
-
VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions
-
Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation
-
MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection
-
Source-Grounded Data Generation for Text-to-JSON Learning
-
Pruning via Causal Attribution Preserves Reasoning Performance in Large Language Models
-
Characterizing Narrative Content in Web-scale LLM Pretraining Data
-
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
-
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law
-
CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs
-
The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
-
3D-PLOT-LLM: Part-Level Object Tokens for 3D Large Language Models
-
ViCoStream: Streaming VideoLLMs Can Run Beyond 100 FPS with Stage-Wise Coordinated Inference
-
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
-
SAM3 Self-Distillation for Fine-Grained GOOSE 2D Semantic Segmentation
-
DeepForestVisionV2: Ecology-Driven Taxonomy Expansion for Camera-Trap Monitoring in African Tropical Forests
-
Cinematic Compositing Using Character-Environment-Harmonized Video Generation Models
-
HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT
-
InfantFace: Detecting infant faces in neonatal clinical environments
-
S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence
-
PCFootprint: A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds
-
Through the PRISM: Preference Representation in Intermediate States of Video Diffusion Models
-
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living
-
Contour-Constrained Deformable Registration with Parameter Characterization for Head and Neck Surgical Guidance
-
VideoSketcher: Sequential Sketch Generation Using Video Model Priors
-
ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis
-
Med-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation
-
ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification
-
Emergent Alignment
-
Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement
-
Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation
-
Confidence-Aware Automated Assessment of Student-Drawn Scientific Models
-
eCNNTO: A Highly Generalizable ConvNet for Accelerating Topology Optimization
-
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
-
Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe
-
CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models
-
The Tao of Agency: Autotelic AI, Embedded Agency and Dissolution of the Self
-
BIM-Edit: Benchmarking Large Language Models for IFC-Based Building Information Modeling
-
QMFOL: Benchmarking Large Language Model Reasoning via Quantifiable Monadic First-Order Logic Test Case Generation
-
Implicit Semantic-Aware Communication Based on Hypergraph Reasoning
-
Human Universal Grasping
-
Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning
-
Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
-
Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees
-
Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech
-
FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines
-
IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows
-
Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models
-
Measuring Biological Capabilities and Risks of AI Agents
-
When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents
-
Beyond Uniform Forgetting: A Study of Sequential Direct Preference Optimization Across Preference Settings
-
CREDENCE: Claim Reduction for Decomposition & Enhanced Credibility -- Semantic Metrics and Convergence Analysis
-
MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization
-
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
-
The Hidden Evolution of Disguised Visual Context inside the VLM
-
LLM agent safety, multi-turn red-teaming, jailbreak benchmarks, adversarial robustness, safety-critical systems
-
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
-
AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
-
Creativity Reconsidered: Generative AI and the Problem of Intentional Agency
-
SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
-
PCBSchemaGen: Reward-Guided LLM Code Synthesis for Printed Circuit Boards (PCB) Schematic Design with Structured Verification
-
SPOT-E: Test-Time Entropy Shaping with Visual Spotlights for Frozen VLMs
-
Multi-View Decompilation for LLM-Based Malware Classification
-
Wisdom of Committee: Diverse Distillation from Large Foundation Models and Domain Experts
-
From Construction to Injection: Edit-Based Fingerprints for Large Language Models
-
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
-
Thermodynamic Signatures of Reasoning: Free-Energy and Spectral-Form-Factor Diagnostics for Hallucination Detection in Large Language Models
-
FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning
-
Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
-
CADBench: A Multimodal Benchmark for AI-Assisted CAD Program Generation
-
Spectral Retrieval-Augmented Time-Series Forecasting
-
Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning
-
Low-Energy Reduced RISC-V Instruction Subset Processor for Tsetlin Machine Inference at the Edge
-
Critical Percolation as a Synthetic Data Model for Interpretability
-
PaAno+: Multiscale Encoding and Cross-Variable Attention for Time Series Anomaly Detection
-
Prompt, Plan, Extract: Zero-Shot Agentic LLMs Workflows for Lung Pathology Extraction from Clinical Narratives
-
FloatDoor: Platform-Triggered Backdoors in LLMs
-
Where Does Social Reasoning Come From? Capability Provenance in Language Models
-
Your Mouse and Eyes Secretly Leak Your Preference: LLM Alignment using Implicit Feedback from Users
-
Probe-and-Refine Tuning of Repository Guidance for Coding Agents
-
Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
-
DeXposure-Claw: An Agentic System for DeFi Risk Supervision
-
Context-Aware Hierarchical Bayesian Modeling of IVF Laboratory Environmental Conditions
-
PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models
-
UltraQuant: 4-bit KV Caching for Context-Heavy Agents
-
Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
-
PASQA: Pitch-Accent-Focused Speech Quality Assessment Model Trained on Synthetic Speech with Accent Errors
-
Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance
-
Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation
-
AI4SE and SE4AI Exploration: A Decade Looking Back and Forward
-
GLARE: A Natural Language Interface for Querying Global Explanations
-
MetaResearcher: Scaling Deep Research via Self-Reflective Reinforcement Learning in Adversarial Virtual Environments
-
Multi-Head Attention-Based Feature Extractor Integration with Soft Actor-Critic for Porosity Prediction and Process Parameter Optimization in Additive Manufacturing
-
Leveraging systems' non-linearity to tackle the scarcity of data in the design of Intelligent Fault Diagnosis Systems
-
Continuous Audio Thinking for Large Audio Language Models
-
Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems
-
Where Did the Variability Go? From Vibe Coding to Product Lines by Regeneration
-
Hardware- and Vision-in-the-Loop Validation of Deep Monocular Pose Estimation for Autonomous Maritime UAV Flight
-
Speaker Verification with Speech-Aware LLMs: Evaluation and Augmentation
-
Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications
-
LLMs Struggle to Measure What Distinguishes Students of Different Proficiency Levels: A Study of Item Discrimination in Reading Comprehension Assessment
-
Output Vector Editing for Memorization Mitigation in Large Language Models
-
SenFlow: Inter-Sentence Flow Modeling for AI-Generated Text Detection in Hybrid Documents
-
FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
-
Balanced Twins: Causal Inference on Time Series with Hidden Confounding
-
Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification
-
Rethinking the Pointer Loss in Table Structure Recognition: Geometry-Aware Pointer Loss for Spatial Locality
-
DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation
-
Hierarchical Multi-Modal Retrieval for Knowledge-Grounded News Image Captioning
-
Technical Report for ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge: Leveraging DINOv3 for Robust Outdoor Scene Understanding in Field Robotics
-
A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder-Decoder Architectures
-
TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning
-
Explaining Attention with Program Synthesis
-
Sumi: Open Uniform Diffusion Language Model from Scratch
-
Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning
-
Revealing Hidden Vulnerabilities in Autoencoders through Gradient Signal Restoration
-
PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
-
DeFAb: A Verifiable Benchmark for Defeasible Abduction in Foundation Models
-
SwitchBraidNet: Quantisation-Aware Lightweight Architecture for Hybrid Brain-Computer Interface
-
R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning
-
MIDS: Detecting Stealthy Masquerade and Tampering Attacks on CAN Bus via Bidirectional Mamba
-
EffiNav: Fusing Depth and Vision-Language for Efficient Object Goal Navigation
-
Beyond Scalar Scores: Exploring LLM-based Metrics for Clinical Significance Evaluation in Radiology Reports
-
Generating Natural and Expressive Robot Gestures through Iterative Reinforcement Learning with Human Feedback using LLMs
-
MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval
-
RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing
-
INDEQS: Informed Neural controlled Differential EQuationS
-
Diffusion-Proof: Recipe for Formal Theorem Proving Beyond Auto-Regressive Generation
-
Transformer Geometry Observatory TGO-I: Spectral Geometry Observatory
-
FORGE: Foundational Optimization Representations from Graph Embeddings
-
PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes
-
From Specification to Execution: AI Assisted Scientific Workflow Management
-
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
-
IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales
-
Investigating Faithfulness in Large Audio Language Models
-
RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models
-
X+Slides: Benchmarking Audience-Conditioned Slide Generation
-
ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection
-
Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response
-
Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks
-
SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM Agents
-
Guava: An Effective and Universal Harness for Embodied Manipulation
-
MagpieTTS-LF: Inference-Time Long-Form Speech Generation Without Training on Long-Form data
-
RedactionBench
-
AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice
-
Steerable Cultural Preference Optimization of Reward Models
-
TW-LegalBench: Measuring Taiwanese Legal Understanding
-
CAPRA: Scaling Feedback on Software Architecture Deliverables with a Multi-Agent LLM System
-
SWE-Future: Forecast-Conditioned Data Synthesis for Future-Oriented Software Engineering Agents
-
Language Models as Interfaces, Not Oracles: A Hybrid LLM-ML System for Pediatric Appendicitis
-
Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering
-
TRAP: Benchmark for Task-completion and Resistance to Active Privacy-extraction
-
Leadership as Coordination Control: Behavioral Signatures and the Recovery-Advantage Boundary in Multi-Agent LLM Teams
-
RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories
-
Towards Understanding What State Space Models Learn About Code
-
Improve Large Language Model Systems with User Logs
-
DeepInflation: an AI agent for research and model discovery of inflation
-
Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
-
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
-
ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement
-
LegalWorld: A Life-Cycle Interactive Environment for Legal Agents
-
RegMix-D: Dynamic Data Mixing via Proxy Training Trajectories
-
VISUALSKILL: Multimodal Skills for Computer-Use Agents
-
SAMA: Semantic Anchor-aligned Augmentation for Unified Low-Resource Multimodal Information Extraction
-
Urdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation
-
Enhancing Multilingual Reasoning via Steerable Model Merging
-
IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages
-
Written by AI, Managed by AI: Semantic Space Control and Index Sickness Elimination Across 391 Consecutive Sessions
-
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
-
Dango: A Strictly L1-Only Large Language Model for Studying Second Language Acquisition
-
RECOM: A Validity Discrimination Tradeoff in Automatic Metrics for Open Ended Reddit Question Answering
-
Continual Adaptation for Pacific Indigenous Speech Recognition
-
MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems
-
DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models
-
Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks
-
UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation
-
Visual-OPSD: Cross-Modal On-Policy Self-Distillation for Efficient Unified Multimodal Reasoning
-
ROSA-TFormer: A Radar-Optical Sensor-Aware Temporal Transformer for Pinus sylvestris Plantation Classification in Northern Shaanxi Using GEE-Derived Sentinel-1/2 Time Series
-
S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
-
MUFASA: A Multi-Layer Framework for Slot Attention
-
EDoF-NeRF: extended depth-of-field neural radiance fields using a coded aperture camera
-
Bidirectional Cross-Attention Fusion of High-Resolution RGB and Low-Resolution Hyperspectral Inputs for Multimodal Semantic Segmentation
-
Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming
-
ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots
-
Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction
-
SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System
-
LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents
-
scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering
-
Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation
-
Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization
-
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
-
OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems
-
DIPHINE: Diffusion-based $\Phi$-ID Neural Estimator
-
UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning
-
NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth Observation
-
Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning
-
ForecastBench-Sim: A Simulated-World Forecasting Benchmark
-
TimeLAVA: Learning-Agnostic Data Valuation for Time Series
-
Sequential Hiring of Contingent Workers Through Learning-Based Optimization
-
Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks
-
CAOA -- Completion-Assisted Object-CAD Alignment
-
Skill-MAS: Evolving Meta-Skill for Automatic Multi-Agent Systems
-
Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution
-
Context-Aware Optimization of Follow-Up Intervals for Type 2 Diabetes Care Using Markov Decision Processes
-
Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning
-
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
-
Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
-
Optimal scenario design for climate emulation
-
Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation
-
Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale
-
HAARES Half-Split Residual Basis Routing for Deep Transformers
-
Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic Segmentation
-
Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion
-
A Neuro-Symbolic Approach to Strategy Synthesis for Strategic Logics
-
See First, Answer Later: Visual Evidence Pre-Alignment via Sufficiency-Driven RL
-
When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval
-
Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty
-
Dissecting model behavior through agent trajectories
-
Can LLMs Be CEOs? Benchmarking Strategic Resource Reallocation with Multi-Role Agent Simulation
-
SEAGym: An Evaluation Environment for Self-Evolving LLM Agents
-
FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness
-
Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games
-
DecoSearch: Complexity-Aware Routing and Plan-Level Repair for Text-to-SQL
-
Feynman Kac Reweighted Schr\"odinger Bridge Matching for Surface-Based Tau PET Harmonization
-
Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework
-
Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3
-
Visored: A Controlled-Natural-Language Prover for LLM-Generated Mathematics
-
Learning a Maximum Entropy Model for Visual Textures using Diffusion
-
CIAN: Multi-Stage Framework for Event-Enriched Image Captioning via Retrieval-Augmented Generation
-
NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results
-
Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines
-
QueryMarket: Cost-Aware Online Active Learning in Data Markets
-
AIMER: Calibration-Free Task-Agnostic MoE Expert Pruning
-
SketchXplain: Intuitive Visual Explanations of Image Classifiers with Sketches
-
STAR: SpatioTemporal Adaptive Reward Allocation for Text-to-Image RL Post-Training
-
Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
-
Are you speaking my languages? On spoken language adherence in multimodal LLMs
-
AIPatient Arena: EHR-grounded evaluation of large language models in end-to-end clinical consultation workflows
-
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement
-
Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings
-
The Benchmark Illusion: Pruned LLMs Can Pass Multiple Choice but Fail to Answer
-
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
-
SuCo: Sufficiency-guided Continuous Adaptive Reasoning
-
Perceptual compensation for tonal context in self-supervised speech models
-
ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions
-
Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews
-
Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding
-
RooseBERT: A New Deal For Political Language Modelling
-
ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling
-
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
-
R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?
-
A Bayesian Boolean Matrix Factorization with Application to Copy Number Analysis in Cancer
-
Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation
-
FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow
-
FacProcessTwin: An LLM-Based System for Process Twin Development
-
BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
-
Environment-Grounded Automated Prompt Optimization for LLM Game Agents
-
Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning
-
Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure
-
Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD Generation
-
MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models
-
MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
-
EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation
-
BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart
-
RadSEM: A Finding-by-Finding Metric for Clinical Consistency in Radiology Reports
-
Broadcast Product: Redefining Shape-aligned Element-wise Multiplication and Beyond
-
MedicalAgentsBench for Complex Medical Reasoning: Comparing Internalized Reasoning Models versus Externalized Agent-based Frameworks
-
Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs
-
Deep Reinforcement Learning for Minimum Zero-Forcing Sets
-
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning
-
ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors
-
Bridging Modality Disconnect in Self-Reflection via Closed-Loop Visually Grounded Verification
-
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins
-
Temporal Preference Optimization for Unsupervised Retrieval
-
OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation
-
AnchorKV: Safety-Aware KV Cache Compression via Soft Penalty with a Refusal Anchor
-
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams
-
Descriptor: Certus Caliber Classification Gunshot Dataset (C3GD)
-
AI Adoption Across a Multinational Workforce: Sociotechnical Conditions for GenAI Acceptance in Human Resources
-
When LLMs Analyze Scars: From Images to Clinically-Meaningful Features
-
S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices
-
Know Thy Reasoner: Not All Language Models Explore Alike
-
LLM-Powered Multi-Agent System for Automated Crypto Portfolio Management
-
Planning with the Views
-
Moving Out: Physically-grounded Human-AI Collaboration
-
Detail++: Training-Free Detail Enhancer for Text-to-Image Diffusion Models
-
PLATE: Plasticity-Tunable Efficient Adapters for Geometry-Aware Continual Learning
-
SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
-
From Paper to Program: Knowledge Externalization for AI-Assisted Quantum Many-Body Code Generation
-
GeoDisaster: Benchmarking Orchestrated Agents for Operational Disaster Geo-Intelligence
-
LADBench: A Benchmark for Logical Fault Detection in Images
-
Blueprint First, Model Second: A Framework for Deterministic LLM Workflow
-
Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit
-
BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics
-
Million-scale multimodal pollen microscopy with expert-guided foundation models
-
Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology
-
ActWorld: From Explorable to Interactive World Model via Action-Aware Memory
-
MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias
-
TaFD: Threat-Aware Frequency Decoupling for Adversarial Robustness against Heterogeneous Attacks
-
EventDrive: Event Cameras for Vision-Language Driving Intelligence
-
Where Should Action Generation Begin? A Learnable Source Prior for Generative Robot Policies
-
Phenotyping TPF via Self-Supervised Learning: A Label-Agnostic Framework with Expert Validation
-
Seeing Is Not Screening: Multimodal Hidden Instruction Attacks on Agent Skill Scanners
-
ProCUA-SFT Technical Report
-
Edit3DGS: Unified Framework for Dynamic Head Editing via 2D Instruction-Guided Diffusion and 3D Gaussian Splatting
-
Attention Sinks in Diffusion Transformers: A Causal Analysis
-
SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
-
EmoFSM: A Finite State Machine for Emotional Support Conversation
-
RepSelect: Robust LLM Unlearning via Representation Selectivity
-
LLMs Infer Cultural Context but Fail to Apply It When Responding
-
Prompt Perturbation for Reliable LLM Evaluation over Comparison Graphs
-
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
-
MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation
-
NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama
-
Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing
-
Nothing from Something: Can a Language Model Discover 0?
-
Unintended Effects of Geographic Conditioning in Large Language Models
-
Self-Generated Error Training for Token Editing in Diffusion Language Models
-
EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning
-
Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose
-
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients
-
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
-
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance
-
Not Truly Multilingual: Script Consistency as a Missing Dimension in VLM Evaluation
-
LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI
-
Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars
-
EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent
-
Vision-language models for chest radiography do not always need the image
-
ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents
-
ALAS: An Automatic Latent Alignment Score for Audio Language Models
-
Structural Role Injection in Handlebars-Templated LLM Prompts: Triple-Brace Interpolation, Delimiter Family, and the Limits of HTML Auto-Escaping
-
Surrogate Assisted Pedestrian Protection Design via a Foundation Model Orchestrated Workflow
-
Beyond Native Success: Auditing Deployment-Interface Exposure of CLIP Backdoors
-
Precision Is Not Faithfulness: Coverage-Aware Evaluation of Grounded Generation with a Complete Oracle
-
Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models
-
Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning
-
findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding
-
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices
-
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
-
In-Context Environments Induce Evaluation-Awareness in Language Models
-
Treatment Response Optimized Clinical Decision Support AI System via Digital Twin Simulation
-
FllumaOne: A Code-Native Multimodal CAD Dataset with Executable Programs and Kernel-Validated Feature Histories
-
IsabeLLM: Automated Theorem Proving Applied to Formally Verifying Consensus
-
PreAct: Computer-Using Agents that Get Faster on Repeated Tasks
-
Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications
-
DeepInsight: A Unified Evaluation Infrastructure Across the Physical AI Stack
-
ParkingTransformer: LLM-Enhanced End-to-End Trajectory Planning for Autonomous Parking
-
Prefill/Decode-Aware Evaluation of LLM Inference on Emerging AI Accelerators
-
Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict
-
TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations
-
SoK: AI-Augmented Binary Reversing
-
Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering
-
MeiBRD: Meta-Learning Intraoperative Biomechanical Residual Deformation
-
MagicSim: A Unified Infrastructure for Executable Embodied Interaction
-
CONCORD: Asynchronous Sparse Aggregation for Device-Cloud RAG under Document Isolation
-
Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
-
Feature Attribution in Directed Acyclic Graphs Using Edge Intervention
-
Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling
-
Agent trajectories as programs: fingerprinting and programming coding-agent behavior
-
ActiveSAM: Image-Conditional Class Pruning for Fast and Accurate Open-Vocabulary Segmentation
-
TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning
-
A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
-
QuantKAN: A Unified Quantization Framework for Kolmogorov Arnold Networks
-
A Biased Nonnegative Block Term Tensor Decomposition Model for Dynamic QoS Prediction
-
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
-
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation
-
A Penalty Approach for Differentiation Through Black-Box Quadratic Programming Solvers
-
Understanding Latent Diffusability via Fisher Geometry
-
Enhancing LLM Safety Through a Theoretical Minimax Game Lens
-
MegaFold: Efficient Training of Next-Generation 3D Attention Protein Models on Cross-Platform GPUs
-
CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
-
SorryDB: Can AI Provers Complete Real-World Lean Theorems?
-
Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning
-
The Machine Learning Approach to Moment Closure Relations for Plasma: A Review
-
MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
-
VigilFormer: Deformable Attention for Video Anomaly Detection with Causal Risk Inference
-
Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2
-
HSQ-VLM: A Novel Spatially-Constrained Quadrant Segmentation VLM Model for Explainability in Diabetic Retinopathy
-
The Vision Encoder as a Privacy Boundary: Visual-Token Side Channels in Encoder-Free Vision-Language Models
-
Mask Proposal Voting Based on Geodesic Framework for Robust Image Segmentation
-
JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence
-
Disentangling Hallucinations: Orthogonal Semantic Projection for Robust Interpretability
-
SPARK: Spatial Policy-driven Adaptive Reinforcement learning for Knowledge distillation
-
HemExp: Clinically-Guided Latent Diffusion for Modeling Hematoma Expansion
-
Unlocking Diffusion Hierarchies: Adaptive Timestep Selection for Zero-Shot Segmentation
-
On the Adversarial Robustness of Multimodal LLM Judges
-
Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images
-
CausalDrive: Real-time Causal World Models for Autonomous Driving
-
Conditional Multi-Event Temporal Grounding in Long-Form Video
-
EcoBin: A Two-Stage Deep Convolutional Neural Network for Contamination-Aware Waste Classification
-
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models
-
Text region detection in historical astronomical diagrams
-
Self-Questioning Vision-Language Models: Reinforcement Learning for Compositional Visual Reasoning
-
GRACE: Boosting Video MLLMs with Grounded Action-Centric Evidence for Viewer Sentiment Prediction
-
Stringalign: Moving beyond summary statistics with a transparent Unicode-aware tool for evaluating automatic transcription models
-
What Should a Streaming Video Model Remember?
-
SP$^3$: Spherical Priors for Plug-and-Play Restoration
-
Chronological Blindness: Benchmarking Temporal Reasoning in Vision-Language Models with CHRONOSIGHT
-
Uncertainty Quality of VGGT: An Analysis on the DTU Benchmark Dataset
-
BadWorld: Adversarial Attacks on World Models
-
PROSE: Training-Free Egocentric Scene Registration with Vision-Language Models
-
Revealing Artifacts via Noise Amplification: A Novel Perspective for AI-Generated Video Detection
-
Vision-Language Models as Zero-Annotation Oracles in Histopathology
-
V2P-Manip: Learning Dexterous Manipulation from Monocular Human Videos
-
Towards Next-Generation Healthcare: A Survey of Medical Embodied AI for Perception, Decision-Making, and Action
-
Variable-Rate Deep Image Compression based on Low-Rank Adaptation by Progressive Learning
-
LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models
-
HairLRM: Strand-based Hair Modeling via Large Reconstruction Models
-
Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
-
CASHEW: Stabilizing Multimodal Reasoning via Iterative Trajectory Aggregation
-
SAMTok: Representing Any Mask with Two Words
-
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking
-
Clinically Aware Synthetic Image Generation for Concept Coverage in Chest X-ray Models
-
Towards Verifiable Agentic Data Science: Solving Irregular TSQA Via Tool-Grounded Reasoning
-
MMDiff: Extending Diffusion Transformers for Multi-Modal Generation
-
PolyKV: Heterogeneous Retention and Allocation for KV Cache Compression
-
StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling
-
MVEB: Massive Video Embedding Benchmark
-
PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift
-
LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction
-
Phantoms and Disclosures: a Causal Framework for Auditing Synthetic Data
-
GradPower: Powering Gradients for Faster Language Model Pre-Training
-
Discovering Lattice Reduction Strategies via Self-Play
-
Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction
-
Semantic Reasoning in Medicine: The Role of Knowledge Graphs Across Five Key Domains
-
TriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation
-
Distilling Drifting Transformers with Representation Autoencoders
-
Constitutional Value Potentials: reading and steering internal priority margins in language models
-
ALCL: An Adaptive Log-Correntropy Loss for Robust Learning under Non-Gaussian Noise
-
Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning
-
Beyond the Blood Draw: Explainable Machine Learning for Non-Invasive Dysglycemia Risk Screening
-
Privacy from Symmetry: Orthogonally Equivariant Transformers for LLM Inference
-
LLM-Powered Virtual Population for Demand Simulation and Pricing
-
Entropy-Gated Latent Recursion
-
daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
-
HawkesNest: A Multi-Axis Synthetic Benchmark for Spatiotemporal Pattern Complexity
-
Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning
-
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
-
Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives
-
JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics
-
Distilling latent electrostatics from foundation machine learning interatomic potentials
-
Not All Skills Help: Measuring and Repairing Agent Knowledge
-
Guiding Federated Graph Recommendation with LLM-encoded knowledge
-
DYNA-PRUNER: Input-Adaptive Data-Model Co-Pruning for Efficient and Scalable Spatio-Temporal Media Prediction
-
Transfer Learning for FHIR Questionnaire Terminology Binding
-
Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking
-
EIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management
-
Your Agent Has a Genome: Sequence-Level Behavioral Analysis and Runtime Governance of LLM-Powered Autonomous Agents
-
Machine learning enables roughness-driven inverse design of milling processes
-
To forget is to preserve: Machine Unlearning for 3D medical image segmentation
-
AuAu: A Benchmark for Auditing Authoritarian Alignment in Large Language Models
-
Whose hotel does the AI recommend? An algorithm audit of reputation signals in LLM-assisted hotel selection
-
TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware
-
REFLEX: Reflective Evolution from LLM Experience
-
A Mechanistic Understanding of Pronoun Fidelity in LLMs
-
TNODEV: Toolbox for Neural ODE Verification
-
TuneJury: An Open Metric for Improving Music Generation Preference Alignment
-
TokenPilot: Cache-Efficient Context Management for LLM Agents
-
NeuronFabric: A Software Reference Architecture for On-Chip Transformer Training with Local Adam
-
Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation
-
SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic Data
-
AdaSTORM: Scaling LLM Reasoning on Dynamic Graphs via Adaptive Spatio-Temporal Multi-Agent Collaboration
-
The Proxy Knows Too Much: Sealing LLM API Routers with Attested TEEs
-
ACCORD: Action-Conditioned Contextual Grounding for Language Agents
-
HOLO-MPPI: Multi-Scenario Motion Planning via Hierarchical Policy Optimization
-
MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
-
ACC: Compiling Agent Trajectories for Long-Context Training
-
Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction
-
Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
-
Rescaling Confidence: What Scale Design Reveals About LLM Metacognition
-
Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models
-
LLM Jaggedness Unlocks Scientific Creativity
-
LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization
-
MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
-
Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
-
Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus
-
LLM-based Visual Code Completion for Aerospace Geometric Design
-
The Value Axis: Language Models Encode Whether They're on the Right Track
-
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience
-
Semantic-Preserving Prompt Hijacking: A Black-Box Adversarial Attack on Auto-Prompt Optimization
-
The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Image Classifiers
-
Multiple Descents in Deep Learning as a Sequence of Order-Chaos Transitions in LSTM Networks
-
Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification
-
IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset
-
HRIR-Former: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer
-
Stable Menus of Public Goods: AI-Enabled Progress
-
Double-Helix Vision (DH-V2): A Geometry-Based Visual Sampler for Bandwidth-Constrained Perception
-
CPS4: Class Prompt driven Semi-Supervised Spine Segmentation with Class-specific Consistency Constraint
-
SceneCraft: Interactive System for Image Editing via Scene Graph
-
Sex-based Network-Specific Differences in Connectomes: A Krakencoder-Based Analysis
-
Thinking with Visual Grounding
-
Redirecting the Flow: Image Customization through Attention Distribution Shift
-
MIRAGE: Runtime Scheduling for Multi-Vector Image Retrieval with Hierarchical Decomposition
-
A Bifurcation Theory Framework for Gradient Descent on the Edge of Stability
-
Is Code Better Than Language for Algorithmic Reasoning
-
Reinforcement Learning for LLM-based Event Forecasting
-
FlowMPC: Improving Flow Matching policies with World Models
-
ChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing
-
How Post-Training Shapes Biological Reasoning Models
-
LLM Judges Have Dark Current: A Psychometric Datasheet for LLM-as-a-Judge Evaluation
-
Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift
-
The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages
-
Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
-
Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers
-
Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
-
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
-
Pepti-Agent: An AI Agent for Peptide Design and Optimization
-
Oops, Wait: Discourse Tokens Matter in Reasoning Model
-
Score-Based Martingale Posteriors for Deep Neural Networks
-
Topological Flow Matching
-
Metric Match: A Subset Selection Approach to Evaluating LLM Judge Reliability
-
Computational Safety for Generative AI: A Hypothesis Testing Perspective
-
A Unified Definition of Hallucination: It's The World Model, Stupid!
-
Edu-Theater: A Data-Efficient Agent Framework for Scalable Learner Behavior Simulation through Staging Roll-Call
-
RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
-
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure
-
Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse?
-
MixTeX: Data-Efficient LaTeX OCR via Synthetic Pretraining and Limited Fine-Tuning
-
From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents
-
GAS-Leak-LLM: Genetic Algorithm-Based Suffix Optimization for Black-Box LLM Jailbreaking
-
Let Them Steal: Trapping Large Language Model Extraction Attacks with Knowledge Honeypot
-
IGLU: The Integrated Gaussian Linear Unit Activation Function
-
Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
-
StyleShield: Exposing the Fragility of AIGC Detectors through Continuous Controllable Style Transfer
-
Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM Serving
-
DRA-GRPO: Your GRPO Needs to Know Diverse Reasoning Paths for Mathematical Reasoning
-
EffGen: Enabling Small Language Models as Capable Autonomous Agents
-
DifFRACT: Diffusion Feature Reconstruction and Attribution for Circuit Tracing
-
EdgeZSAD: Practical Zero-Shot Anomaly Detection on Edge Devices
-
DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy Diagnosis
-
CHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference Alignment
-
Priority-Aware Shapley Value
-
A Self Consistency Based Reranking for Narrative Question Answering
-
NVMOS: Non-Verbal Vocalization Quality Assessment in Speech
-
Last But Not Least: Boundary Attention CalibratiON for Multimodal KV Cache Compression
-
ReGenHuman: Re-Generating Human Appearances for Realistic Full-Body Video Anonymization
-
Open-SWE-Traces: Advancing Dual-Mode Multilingual Distillation for Software Engineering Agents
-
OneFocus: Enabling Real-World X-ray Security Screening with a Unified Vision-Language Model
-
OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning
-
DC-Motion: Decoupling Semantics and Details via Discrete-Continuous Tokens for Human Motion Generation
-
Latent Action Pretraining Through World Modeling
-
Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes
-
The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection
-
Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations
-
From Frames to Temporal Graphs: In-Context Egocentric Action Recognition with Vision-Language Models
-
RL-Index: Reinforcement Learning for Retrieval Index Reasoning
-
Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
-
Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
-
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
-
P3B3: A Multi-Turn Conversational Benchmark for Measuring European and Brazilian Portuguese Variety Bias in LLMs
-
Latent Thought Flow: Efficient Latent Reasoning in Large Language Models
-
PACT: Privileged Trace Co-Training for Multi-Turn Tool-Use Agents
-
GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science
-
Beyond Classification: A Cough Regression Benchmark for Respiratory Acoustic Foundation Models
-
CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos
-
MIRAGE: Auditing Anti-Muslim Bias in Frontier LLMs Across Reasoning, Agentic, and Time-Coupled Conditions
-
From ASR to ASP: Evaluating Prompt Attack Vulnerabilities Against Open-Source LLMs
-
ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech
-
LiFT: Local Search via Linear Programming for Overfitting-Controlled Transformers
-
A Systematic Evaluation of Large Language Models for PTSD Severity Estimation: The Role of Contextual Knowledge and Modeling Strategies
-
On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents
-
DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing
-
DEEPRUBRIC: Evidence-Tree Rubric Supervision for Efficient Reinforcement Learning of Deep Research Agents
-
RASST: Retrieval-Augmented Simultaneous Speech Translation
-
MedSynth: Realistic, Synthetic Medical Dialogue-Note Pairs
-
EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
-
Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
-
FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
-
Virtual Speech Therapist: A Clinician-in-the-Loop AI Speech Therapy Agent for Personalized and Supervised Therapy
-
DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding Agents
-
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
-
RAMS: Resource-Adaptive and Detection-Conditioned Model Switching for Embedded Edge Perception
-
TERMS-Bench: Diagnosing LLM Negotiation Agents Beyond Deal Rate
-
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
-
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes
-
FlowState: Sampling-Rate-Equivariant Time-Series Forecasting
-
Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs
-
Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations
-
AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani
-
Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective
-
Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation
-
Prior over Evidence: Stereotype-Driven Diagnosis in LLM-Based L2 Pronunciation Feedback
-
BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation
-
Weaving Multi-Source Evidence for Biomedical Reasoning: The BioMedHop Benchmark and BioWeave Framework
-
Akasha 2: Hamiltonian State Space Duality and Visual-Language Joint Embedding Predictive Architectur
-
GRACE: Step-Level Benchmark for Faithful Reasoning over Context
-
A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization
-
SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks
-
FinBalance: A Multi-Document Accounting Reconciliation Benchmark
-
PathRouter: Aligning Rewards with Retrieval Quality in Agentic Graph Retrieval-Augmented Generation
-
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs
-
SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
-
SimSiam Naming Game: A Unified Approach for Emergent Communication and Representation Learning
-
Benchmarking LLM Agents on Meta-Analysis Articles from Nature Portfolio
-
MosaicQuant: Inlier-Outlier Disaggregation for Unified 4-Bit LLM Quantization
-
Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework
-
Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences
-
Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization
-
LLM-as-Code Agentic Programming for Agent Harness
-
Who Drifted: the System or the Judge? Anytime-Valid Attribution in LLM Evaluation Pipelines
-
AIChilles: Automatically Uncovering Hidden Weaknesses in AI-Evolved Systems
-
Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support
-
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis
-
GeoRoPE: Ground-Aware Rotary Adaptation for Remote Sensing Foundation Models
-
PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums
-
Measuring Whether LLM Tutors Teach or Solve: A Diagnostic for Educational Impact
-
AgentFairBench: Do LLM Agents Discriminate When They Act?
-
Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM Agents
-
Steering Emotional Dynamics for Art Therapy: Controllable Narrative Script Generation through Hierarchically Guided LLM Agents
-
GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM Agents
-
ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning
-
RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting
-
SciText2Eq: Assessing LLMs for Explainable Equation Generation for Scientific Creativity
-
MotionVLA: Vision-Language-Action Model for Humanoid Motion
-
Sub-Semantic Image Segmentation
-
User as Code: Executable Memory for Personalized Agents
-
Honeypot Protocol
-
Green AI Carbon Optimizer: Carbon-Efficient Training Location Recommendation and Global AI Energy Demand Forecasting
-
Beyond Correctness: Enhancing Architectural Reasoning in Code LLMs via Scalable Labeling with Agentic Judgment
-
Combining Retrieval-Augmented Text Generation with LLMs for Reading Content Recommendations
-
Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier
-
Knowledge-Based Zero-Replay Debugging of Multi-Agent LLM Traces
-
Is Your Agent Playing Dead? Deployed LLM Agents Exhibit Constraint-Evasive Fabrication and Thanatosis
-
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies
-
OpenClaw-Skill: Collective Skill Tree Search for Agentic Large Language Models
-
Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?
-
LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument Control
-
Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering
-
MiroBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions
-
XFlow: An Executable Protocol Programming System for Reliable Multi-Agent Workflows
-
LLM4RTL: Tool-Assisted LLM for RTL Generation
-
A Multi-Level Architecture for Reusable Materials Ontologies -- The OntoCrafter Ceramics Ontology (OCO) as Reference Implementation
-
FragFuse: Bypassing Access Control of Large Language Model Agents via Memory-Based Query Fragmentation and Fusion
-
ARB4WM: An Adversarial Robustness Benchmark for World Models in Continuous Control
-
PACUTE: Phonology-, Affix-, and Character-level Understanding of Tokens for Filipino
-
LLM-Assisted Stance Detection in Scientific Discourse: A Test Case in Bayesian Cognitive Science
-
DeepRoot: A KG-Coordinated Multi-Agent System for Therapeutic Reasoning over Historical Medical Texts
-
Limited Marginal Benefit of Reasoning-Heavy LLM Deployment in ESG Narrative Scoring: A 4-Model Consensus Study on Japanese Listed Firms
-
ControlMap: Controllable High-Definition Map Generation for Traffic Scenario Simulation
-
Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations
-
Embedded Arena: Iterative Optimization via Hardware Feedback
-
Vernier: Probing Representational Misalignment Behind Lexical Gaps in Causal Reasoning
-
LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
-
InvDesMobility: a reliability-gated first-principles feedback framework for closed-loop materials discovery
-
Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration
-
PVminerLLM2: Improving Structured Extraction of Patient Voice via Preference Optimization
-
Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing
-
Automated jailbreak attack targeting multiple defense strategies
-
Recurrent Reasoning on Symbolic Puzzles with Sequence Models
-
DYNA : Dynamic Episodic Memory Networks for Augmenting Large Language Models with Temporal Knowledge Graphs in Continuous Learning
-
SPARK: Security Knowledge Priming and Representation-Guided Knowledge Activation for LLM-based Secure Code Generation
-
Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)
-
Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
-
AI systems out-persuade expert humans
-
Gen-VCoT: Generative Visual Chain-of-Thought Reasoning via Diffusion-Based RGB Intermediate Representations
-
UXBench: Measuring the Actionability of LLM-Generated UX Critiques
-
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
-
JADE: Expert-Grounded Dynamic Evaluation for Open-Ended Professional Tasks
-
AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM Systems
-
Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
-
Trimodal Glioma Representation Alignment via Volumetric Contrastive Learning
-
Naive Visual Memory is Not Enough: A Failure-Mode Study of GUI Agents
-
FLaRA: Predicting Future Latent Representations for Accident Anticipation
-
BoRAD: Bootstrap your Own Representations for Multi-class Anomaly Detection
-
A Robust Point Cloud Analysis Framework Inspired By Primary Visual Cortex
-
IndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products
-
VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling
-
HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection
-
No Accidental Software Agent First Canonical Code for Human Code Entropy Reduction and 30 to 500 times Lower Frontier Model Requirements
-
SEVRA-BENCH: Social Engineering of Vulnerabilities in Review Agents
-
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI
-
Cluster LOCO: Feature Importance For Interpreting Clusters
-
RT-VLA: Real-Time Vision-Language-Action Models via Knowledge Distillation
-
Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback
-
Closing the Reflection Gap: A Free Calibration Bonus for Agentic RL
-
Jacobian Scopes: token-level causal attributions in LLMs
-
Manga109-v2026: Revisiting Manga109 Annotations for Modern Manga Understanding
-
The Weight Norm Sets the Grokking Timescale: A Causal Delay Law
-
The Culture Funnel: You Can't Align What isn't in the Data
-
EiCAP: Beyond Fluency, Probing and Improving Emotional Intelligence in LLMs via Psychologically Grounded Multi-Turn Dialogue
-
Can Deep Neural Networks Improve Compression of Very Large Scientific Data?
-
Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability
-
Beyond a Single Explanation of the Adam--SGD Gap
-
Hybrid Classical-Quantum Variational Autoencoder for Neural Topic Modeling
-
Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes
-
Compressed Computation is (probably) not Computation in Superposition
-
Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling
-
Recipe-Controlled Decoder Audit for Structural Knowledge-Graph Completion
-
From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation
-
PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation
-
Self-Evolving Visual Questioner
-
BigPower: Hierarchical Source-Level Module Power Estimation for CPUs with Large Language Models
-
A Virtuous AI is an Existential Risk
-
Order Is Not Control: Driven-Dissipative Response Laws Across Artificial and Biological Systems
-
Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2
-
"I Didn't Make the Micro Decisions": Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration
-
Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
-
Efficient On-Device Diffusion LLM Inference with Mobile NPU
-
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
-
AgentSpec: Understanding Embodied Agent Scaffolds Through Controlled Composition
-
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
-
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
-
Knowledge Graph Enhanced Memory-Augmented Retrieval for Long Context Modeling
-
Same-Origin Policy for Agentic Browsers
-
Gefen: Optimized Stochastic Optimizer
-
Elastic Queries Reinforcement Learning: Self-Aware Policy Execution for VLA Models
-
From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
-
PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum
-
MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design
-
Refusal Beyond a Single Direction: A Preliminary Comparison of Diff-in-Means and INLP
-
A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale
-
Orchestra-o1: Omnimodal Agent Orchestration
-
Poker Arena: Multi-Axis Profiling of Strategic Reasoning and Memory in LLMs
-
Natively Unlearnable Large Language Models
-
ADORE: Iterative Query Expansion with Retrieval-Grounded Relevance Feedback
-
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
-
Gaze Heads: How VLMs Look at What They Describe
-
MUFFLe: Efficient Model Update Compression via Generalized Deduplication for Federated Learning
-
Realizing Native INT8 Compute for Diffusion Transformers on Consumer GPUs: A Fused INT8 GEMM Kernel for Ideogram 4.0
-
Hidden in Plain Sight: Benchmarking Agent Safety Against Decomposition Attacks with DECOMPBENCH
-
Clay-CNN Hybrids: Leveraging Geo-Foundational Models as Auxiliary Context for Landslide Detection
-
Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
-
Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach
-
Temperature transferable Machine Learned Coarse Grained model for proteins
-
Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models
-
Temporal Backtracking Search for Test-time Generative Video Reasoning
-
AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models
-
Avatar V: Scaling Video-Reference Avatar Video Generation
-
ViT-Up: Faithful Feature Upsampling for Vision Transformers
-
Metabolic cost of information processing in Poisson variational autoencoders
-
FactoryLLM: A Safe and Open-Source AI Playground for Evaluating LLMs in Smart Factories
-
ORCA: A Platform for Open-Source Dexterity Research
-
UltraSketchLLM: Sub-1-Bit LLM Compression via Sketch and Hardware-Friendly Operators
-
Low-Burden LLM-Based Preference Learning: Personalizing Assistive Robots from Natural Language Feedback for Users with Paralysis
-
Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding
-
DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation
-
Fusing Stylometric and Embedding Systems to Estimate Authorship Likelihood Ratios in Japanese
-
Harsher on Male? Evaluating LLMs on Gender-Asymmetric Moral Framing Across Diverse Conflict Scenarios
-
Right or Wrong, Models Comply: Directional Blindness in LLM Moral Judgment
-
OdysSim: Building Foundation Models for Human Behavior Simulation
-
Retrospective Progress-Aware Self-Refinement for LLM Agent Training
-
Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation
-
LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations
-
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
-
LEPO: Latent Reasoning Policy Optimization for Large Language Models
-
BayLing-Duplex: Native Full-Duplex Speech Dialogue with a Single Autoregressive LLM
-
FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA
-
The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training
-
SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model
-
A New Multi-Domain Benchmark for Micro-Action Recognition and Detection
-
Improving Lunar Topography with Deep Learning Schr\"odinger Bridges
-
FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision
-
Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models
-
SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs
-
LapidaryEngine: Fully Conversational Crystal Generation
-
Can LLMs Accurately Score Medical Diagnoses and Clinical Reasoning?
-
AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
-
Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models
-
SANA: What Matters for QA Agents over Massive Data Lakes?
-
A Computational Audit of Demographic Association Encoding in ClinicalBERT Language Predictions
-
CacheRL:Multi-Turn Tool-Calling Agents via Cached Rollouts and Hybrid Reward
-
Muon$^p$: Muon with Fractional Spectral Powers
-
Generalized Discrete Diffusion with Self-Correction
-
Communication Policy Evolution for Proactive LLM Agents
-
A Fixed-Point Neural Operator for Size- and Functional-Transferable Hamiltonian Prediction
-
TwinBI: An Agentic Digital Twin for Efficient Augmented Interactions with Business Intelligence Dashboards
-
NeST: Neuron Selective Tuning for LLM Safety
-
MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis
-
VeriGeo: Controllable Geometry Question Generation with Numerical and Analytical Verification
-
Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance
-
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
-
SAFformer:Improving Spiking Transformer via Active Predictive Filtering
-
CausalMotion: Structured Physical Reasoning as Keyframe and Trajectory Guidance for Training-Free Video Generation
-
Scratched Lenses, Shifted Depth: Passive Camera-Side Optical Attacks
-
WAM4D: Fast 4D World Action Model via Spatial Register Tokens
-
Fusion of Pervasive RF Data with Spatial Images via Vision Transformers for Enhanced Mapping in Smart Cities
-
FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned Optimization
-
FEMOT: Multi-Object Tracking using Frame and Event Cameras
-
ADAPT: An Autonomous Forklift for Construction Site Operation
-
Instruct-Particulate: Scaling Feed-Forward 3D Object Articulation with Kinematic Control
-
I'm Sorry Driver, I'm Afraid I Can't Do That: Appraising the Safety of LLMs within Automotive Contexts
-
AdaSR: Adaptive Streaming Reasoning with Hierarchical Relative Policy Optimization
-
C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning
-
Machine-learned particle flow as a foundation model for collider physics
-
EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator
-
DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management
-
VISTA: Video Interaction Spatio-Temporal Analysis Benchmark
-
Revisiting Vehicle Color Recognition in Long-Tailed Surveillance Scenarios
-
EyeTheia: A Lightweight and Accessible Eye-Tracking Toolbox
-
Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
-
RepWAM: World Action Modeling with Representation Visual-Action Tokenizers
-
Flex4DHuman: Flexible Multi-view Video Diffusion for 4D Human Reconstruction
-
VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models
-
VietFashion: Benchmarking Sketch-Text Composed Image Retrieval for Cultural Outfits
-
GeoCFNet: Geometry-Aware Confidence Field Network for Robot-Assisted Endoscopic Submucosal Dissection
-
AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation
-
YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection
-
One Token to Fool LLM-as-a-Judge
-
Person Identification from Contextual Motion
-
GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models
-
CD-RCM: Generalizable Continuous-Depth Novel View Synthesis for Reflectance Confocal Microscopy
-
ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
-
TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian Museum
-
LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
-
AfroScope: A Framework for Studying the Linguistic Landscape of Africa
-
Understanding helpfulness and harmless tension in reward models
-
ProPlay: Procedural World Models for Self-Evolving LLM Agents
-
Detecting Functional Memorization in Code Language Models
-
Reasoning Models Know What's Important, and Encode It in Their Activations
-
LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction
-
M\"OVE: A Holistic LLM Benchmark for the German Public Sector
-
RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue
-
SkillChain: Closing the Loop on Skill Evolution for Image-Based E-Commerce AI Assistants
-
SkillCAT: Contrastive Assessment and Topology-Aware Skill Self-Evolution for LLM Agents
-
From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
-
SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings
-
Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
-
Beyond Uniform Tokens: Adaptive Compression for Time Series Language Models
-
Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping Assistants
-
Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization
-
Frozen Multimodal Embeddings for AI-Assisted Interview Assessment of Personality and Cognitive Ability
-
GeoWorld-VLM: Geometry from World Models for Vision-Language Models
-
GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models
-
FENCE: A Financial and Multimodal Jailbreak Detection Dataset
-
ARROW: Augmented Replay for RObust World models
-
TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
-
An LLM System for Autonomous Variational Quantum Circuit Design
-
Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents
-
OCOO-T : A Simple and Scalable Virtual Cell Model for Transcriptional Perturbation Response Prediction
-
Iterative Visual Thinking: Teaching Vision-Language Models Spatial Self-Correction through Visual Feedback
-
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
-
MemRefine: LLM-Guided Compression for Long-Term Agent Memory
-
Towards Personalized Federated Learning for Dysarthric Speech Recognition
-
SmartFont: Dynamic Condition Allocation for Few-Shot Font Generation
-
LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
-
One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders
-
CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
-
IVIE: A Neuro-symbolic Approach to Incremental and Validated Generation of Interactive Fiction Worlds
-
LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning
-
SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation
-
PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation
-
Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery
-
Reconstructing Template-Memorized Images from Natural Prompts
-
Language Model Circuits Are Sparse in the Neuron Basis
-
Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders
-
When Smaller Wins: Dual-Stage Distillation and Pareto-Guided Compression of Liquid Neural Networks for Edge Battery Prognostics
-
When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
-
Standardized Methods and Recommendations for Green Federated Learning
-
SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models
-
Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models
-
Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings
-
HyPE: Category-Aware Hypergraph Encoding with Persistent Edge Embeddings for Persona-Grounded Dialogue
-
HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented Agents
-
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
-
RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery
-
NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems
-
TAB-PO: Preference Optimization with a Token-Level Adaptive Barrier for Token-Critical Structured Generation
-
SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images
-
Robust State-Conditional Feature-Weighted Jump Models for Temporal Clustering
-
OccAny: Generalized Unconstrained Urban 3D Occupancy
-
The Containment Gap: How Deployed Agentic AI Frameworks Fail Public-Facing Safety Requirements
-
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
-
HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness
-
Arbor: Tree Search as a Cognition Layer for Autonomous Agents
-
Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation
-
SciR: A Controllable Benchmark for Scientific Reasoning in LLMs
-
TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation
-
Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents
-
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
-
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
-
Topical Phase Transitions in Artificial Intelligence Research: Large-Scale Evidence and an Early-Warning Signature for Emerging Topics
-
Prefill Awareness in Large Language Models
-
(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable
-
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
-
AAbAAC: An Annotated Corpus for Autoimmunity Information Extraction
-
Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach
-
WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning
-
Zero-source LLM Hallucination Detection with Human-like Criteria Probing
-
OpenMedQ: Broad Open Pretraining for Medical Vision-Language Models
-
Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer
-
Nous: An Attempt to Extract and Inject the Cognition Behind Prediction-Market Behavior
-
Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause Analysis
-
LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem Diagnosis
-
MiniMax Sparse Attention
-
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning
-
AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility
-
PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization
-
EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery
-
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering
-
Foresight: Iterative Reasoning About Clues that Matter for Navigation
-
Reframing AI Loss of Control: What It Is, How to Have It, How to Lose It
-
Occupational Prompting Reveals Cultural Bias in Large Language Models
-
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration
-
ReCal: Reward Calibration for RL-based LLM Routing
-
Agents-K1: Towards Agent-native Knowledge Orchestration
-
SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems
-
HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection
-
Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning
-
CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents
-
SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent Systems
-
LLM-Powered Personalized Glycemic Assessment in Type 2 Diabetes with Wearable Sensor Data
-
Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids
-
Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
-
scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing
-
Diffusion Transformer World-Action Model for AV Scene Prediction
-
Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning
-
MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems
-
CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts
-
Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities
-
Multi-Turn Reasoning When Context Arrives in Pieces: Scalable Sharding and Memory-Augmented RL
-
Polar: A Benchmark for Evaluating Political Bias in LLMs
-
SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents
-
LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling
-
DuET: Dual Expert Trajectories for Diffusion Image Editing
-
Towards More General Control of Diffusion Models Using Jeffrey Guidance
-
Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm
-
AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas
-
EDEN: A Large-Scale Corpus of Clinical Notes for Italian
-
PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt Injections
-
LLMs Can Better Capture Human Judgments--With the Right Prompts
-
Localizing Anchoring Pathways in Language Models
-
Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models
-
NaturalFlow: Reducing Disruptive Pauses for Natural Speech Flow in Simultaneous Speech-to-Speech Translation
-
Select and Improve: Understanding the Mechanics of Post-Training for Reasoning
-
OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data
-
WildIFEval: Instruction Following in the Wild
-
Prism: Cost-Efficient Multi-LLM Serving via GPU Memory Ballooning
-
Emergence of Hierarchical Emotion Organization in Large Language Models
-
Structuring The Future: Diffusion LLM Speculative Decoding via Calibrated Draft Graphs
-
Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models
-
Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble
-
Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation
-
AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages
-
Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization
-
CodeAlchemy: Synthetic Code Rewriting at Scale
-
Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm
-
WebChallenger: A Reliable and Efficient Generalist Web Agent
-
Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators
-
PromptEmbedder: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
-
TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning
-
PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student Learning
-
The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring
-
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO
-
ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
-
Segment and Select: Vision-Language Segmentation in 3D Scenarios
-
GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
-
ChartLens: A Dual-Branch Framework for Chart Data Correction and Factual Summary Refinement
-
UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors
-
REAL: A Reasoning-Enhanced Graph Framework for Long-Term Memory Management of LLMs
-
Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2
-
When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking
-
ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval
-
WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
-
A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations
-
Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output
-
RedAct: Redacting Agent Capability Traces for Procedural Skill Protection
-
N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization
-
CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-Consistency
-
Swivuriso: The South African Next Voices Multilingual Speech Dataset
-
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
-
Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation
-
ProbeLLM: Automating Principled Diagnosis of LLM Failures
-
HarDBench: A Benchmark for Draft-Based Co-Authoring Jailbreak Attacks for Safe Human-LLM Collaborative Writing
-
Scaling Self-Supervised Speech Models Uncovers Deep Linguistic Relationships: Evidence from the Pacific Cluster
-
An Industrial-Scale Insurance LLM Achieving Verifiable Domain Mastery and Hallucination Control without Competence Trade-offs
-
Operator Fusion for LLM Inference on the Tensix Architecture
-
What Should a Skill Remember? Quality--Cost Trade-offs in Cost-Aware Skill Rewriting for Language Model Agents
-
Toward Calibrated, Fair, and accurate Deepfake Detection
-
TENP: Trapezoidal Expert Neuron Pruning For Mixture-of-Experts
-
SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
-
Calibrating Overconfidence Without Sacrificing Confidence: Probe-Conditioned Head Intervention for LLMs
-
Quality Is Not a Safety Proxy Under Quantization
-
Conservation Laws from Data Symmetry in Neural Networks
-
Alignment Defends LLMs from Property Inference Attacks
-
CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting
-
When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice
-
TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification
-
PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection
-
Exploring the Design Space of Reward Backpropagation for Flow Matching
-
Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions
-
Spiking Neural Network inference on FPGAs with hls4ml
-
MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents
-
Task Robustness via Re-Labelling Vision-Action Robot Data
-
PRISM: Parallel Residual Iterative Sequence Model
-
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
-
Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
-
RAT: Reference-Augmented Training for ASV Anti-Spoofing
-
Beyond APIs: Probing the Limits of MLLMs in Physical Tool Use
-
Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs
-
Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks
-
Understanding and mitigating the risks of OpenClaw for non-technical users: A practical guide with Skill
-
Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA
-
A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications
-
Diagnosing Evidence Utilization in Long-Context and Retrieval-Augmented Language Models under Matched Evidence Conditions
-
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
-
Entropy, Disagreement, and the Limits of Foundation Models in Genomics
-
Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
-
PhantomBench: Benchmarking the Non-existential Threat of Language Models
-
ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
-
Whisfusion: Parallel ASR Decoding with Masked Diffusion
-
TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit
-
TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving
-
Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study
-
GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support
-
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning
-
MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
-
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
-
MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction
-
Compile Once, Differentiate Everywhere: A Differentiable Meta-Circular Interpreter
-
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies
-
Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency
-
Tractogram foundation model
-
mlr3mbo: Bayesian Optimization in R
-
QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning
-
Failure Modes of Deep Multi-Agent RL in Asynchronous Pricing: Reproducible Triggers, Trace Diagnostics, and a Partial Fix
-
Rotate2Think: Geometric Priming via Orthogonal Rotation to Improve Language Model Reasoning
-
Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History
-
What Do Deepfake Speech Detectors Actually Hear?
-
IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts
-
When RL Fails after SFT: Rejuvenating Model Plasticity for Robust SFT-to-RL Handoff
-
3SPO: State-Score-Supervised Policy Optimization for LLM Agents
-
Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions
-
Divide-and-Conquer Modeling for the CTF-4-Science Lorenz Benchmark
-
Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion
-
Making Time Editable in Video Diffusion Transformers
-
Gaming AI-Assisted Peer Reviews Poses New Risks to the Scientific Community
-
Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders
-
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
-
BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression
-
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
-
YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
-
ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing
-
Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations
-
KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
-
LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks
-
MMClima: A Framework for Multimodal Climate Science Data and Evaluation
-
A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport
-
Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents
-
Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation
-
UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation
-
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
-
Expert-Level Crisis Detection in Mental Health Conversations
-
Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries
-
Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion Policies
-
Stop Early, Spend Less: Hidden-State Probes as a Practical Recipe for Streaming Moderation of LLM Outputs
-
LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
-
NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity
-
Learning Evidence Highlighting for Frozen LLMs
-
Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting
-
Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals
-
OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module Design
-
ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation
-
VISTA: A Versatile Interactive User Simulation Toolkit for Agent Evaluation
-
SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation
-
Who Wrote the Book? Detecting and Attributing LLM Ghostwriters
-
Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation
-
RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning
-
Hasse Diagrams for Attention: A Partial Order Framework for Designing Transformer Masks
-
Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
-
Overcoming Rank Collapse in Feedback Alignment
-
Predicting Future Behaviors in Reasoning Models Enables Better Steering
-
Deployment-Time Memorization in Foundation-Model Agents
-
Evaluating Research-Level Math Proofs via Strict Step-Level Verification
-
A Unified Multi-Modal Framework for Intelligent Financial Systems: Integrating Reinforcement Learning, High-Frequency Trading, and Game-Theoretic Approaches with Cross-Modal Sentiment Analysis
-
ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience
-
Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision Agents
-
Do VLMs Reason Like Engineers? A Benchmark and a Stage-wise Evaluation
-
Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent Memory
-
STAGE-Claw: Automated State-based Agent Benchmarking for Realistic Scenarios
-
What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents
-
ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models
-
The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans
-
A History-Aware Visually Grounded Critic for Computer Use Agents
-
LLM-Based Code Documentation Generation and Multi-Judge Evaluation
-
CANVAS: Captioning Art with Narrative Visual-Audio AI Systems
-
Structure from Reasoning, Numbers from Search: On-Premise Open LLMs as Structural Priors for Coupled MIMO Controller Tuning
-
An LLM-Native Psychometric Instrument Does Not Predict LLM Behavior: Evidence Across 25 Models
-
Can Multi-Agent LLMs Identify Their Peers? Stylometric Fingerprinting in Role-Constrained Political Analysis
-
Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models
-
Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
-
EstRTL: Functional Estimation Guided RTL Code Generation
-
Towards Diverse Scientific Hypothesis Search with Large Language Models
-
CleanPatrick: A Benchmark for Image Data Cleaning
-
Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs
-
++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation
-
Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching
-
FOGO: Forgetting-aware Orthogonalization Optimizer
-
ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction
-
The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-Judge
-
Blurry Window Attention
-
Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining
-
Let ViT Speak: Generative Language-Image Pre-training
-
Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS
-
More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production
-
Bellman-Taylor Score Decoding for Markov Decision Processes with State-Dependent Feasible Action Sets
-
STORM: Stepwise Token Optimization with Reward-Guided Beam Search
-
Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games
-
FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model
-
GeoLoom: High-quality Geometric Diagram Generation from Textual Input
-
Lip Forcing: Few-Step Autoregressive Diffusion for Real-time Lip Synchronization
-
Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving
-
Overlapped Wavelet Diffusion for Low-Light Image Enhancement
-
SPARX: Secure and Privacy-Aware Approximate CNN Acceleration with Edge RISC-V SoC
-
ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting
-
WorldOlympiad: Can Your World Model Survive a Triathlon?
-
Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio
-
A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS
-
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
-
CoCoSI: Collaborative Cognitive Map Construction for Spatial Intelligence
-
DB-3DME: From Dataset to Benchmark for Human-aligned Automatic 3D Mesh Evaluation
-
ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
-
LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow Matching
-
GRAR: Glass-induced Reflection Artifact Removal in LiDAR Point Clouds
-
Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
-
Domain Adapted Large Language Models for Additive Manufacturing
-
From `May' to `Is': Certainty Distortion in Language Model Rewriting
-
POISE: Position-Aware Undetectable Skill Injection on LLM Agents
-
Neutrality Bites: Gender Representation in AI-Generated Animal Stories
-
SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models
-
MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios
-
Adversarial Robustness of Activation Steering in Large Language Models
-
Rosetta Memory: Adaptive Memory for Cross-LLM Agents
-
What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
-
Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model
-
MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science
-
TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research
-
BCG-FM: A Foundation Model for Ambient Cardiac Health Sensing
-
SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
-
DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment
-
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
-
Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
-
VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language Agents
-
Liberating LLM Capabilities in Full-Duplex Speech Models
-
Outage Detection in Self-Healing Smart Grids Using Reinforcement Learning with Spectral Graph Neural Networks
-
GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation
-
SurfDesign: Effective Protein Design on Molecular Surfaces
-
ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
-
Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models
-
LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)
-
Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI
-
Post-training is (Massive) Supervised Learning
-
SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research
-
WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces
-
Bridging Traditional Explainability Methods and Multimodal Multilingual Models: An XAI-Based Analysis
-
PRISM: Recovering Instruction Sets from Language Model Activations
-
MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation
-
XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection
-
BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks
-
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
-
Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery
-
ZIPP:Zero-shot Image Personalization from Personas
-
FF-JEPA: Long-Horizon Planning in World Models with Latent Planners
-
Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory
-
Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts
-
STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning
-
Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization
-
TheoremBench: Evaluating LLMs on Theorem Proving in Formal Mathematics
-
An Effective Router for Vision-Language Model Selection
-
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
-
DN-Hypo-Pipeline: An AI-Driven Workflow for Hypothesis Generation via Large Language Models and Scientific Explanations
-
Ablation-Reversible Heads Don't Transfer: A Stress Test for Mechanistic Role Claims in Transformers
-
AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions
-
Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control
-
VESTA: A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents
-
OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs
-
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
-
Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM Agents
-
Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents
-
Stress-testing medical large language models reveals latent safety pathology beyond benchmark accuracy
-
The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence
-
The AI Epistemic Deference Index: A Continuous Measure of Sycophancy
-
OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs
-
Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach
-
Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems
-
Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model
-
Dynamics of learning to integrate in linear recurrent neural networks
-
Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning
-
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
-
INFUSER: Influence-Guided Self-Evolution Improves Reasoning
-
SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection
-
From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMs
-
Cross-LLM Consistency in Inference: Evidence from Shared Interactions
-
Improving Multimodal Reasoning via Worst Dimension Optimization
-
Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation
-
SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths
-
AGENTSERVESIM: A Hardware-aware Simulator for Multi-Turn LLM Agent Serving
-
Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis
-
Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data
-
Code Is More Than Text: Uncertainty Estimation for Code Generation
-
Correct Is Not Enough: Training Reasoning Planners with Executor-Grounded Rewards
-
Nonparametric LLM Evaluation from Preference Data
-
DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
-
Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
-
POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
-
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
-
Distilling Safe LLM Systems via Soft Prompts for On Device Settings
-
Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds
-
Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency
-
Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence Attribution
-
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
-
GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model
-
Revisiting Training Scale: An Empirical Study of Token Count, Power Consumption, and Parameter Efficiency
-
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
-
RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction
-
Sycophancy as a Multilingual Alignment Failure: How Safety Degrades Across Languages, Topics, and Models
-
Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks
-
CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials
-
Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
-
MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution
-
Vision Language Model Helps Private Information De-Identification in Vision Data
-
Jas: AI-Paired Engineering as a Revival of N-Version Programming
-
TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs
-
Implicit Causal Graph Construction in Text via Chain Discovery
-
CoVEBench: Can Video Editing Models Handle Complex Instructions?
-
Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
-
BLM-SGAN: Bidirectional Language Modeling for Semantic-Spatial Text-to-Image Generation
-
See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding
-
LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training
-
FineGen: A VLM-based Multi-Agent Framework for Fine-Grained Image-Text Dataset Construction
-
Conan-embedding-v3: Fusing Modality-Specific Models for Omni-Modal Embedding
-
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
-
LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines
-
To Nuke or Not to Nuke: LLMs' (Missing) Ethical Reasoning and Actions in a High-Stakes Decision-Making Simulation
-
ExDet: Open-Domain Open-Vocabulary Detection with Cross-modal Extrapolation and Rectification
-
Echo-DM: Ultrasound Marker Removal via Conditional Latent Diffusion and Region-Aware Fusion
-
SemDINO: A DINOv3-Driven Network for Cross-Temporal Semantic Alignment in Change Detection
-
EgoPriMo: Egocentric Motion Generation for Interactive Humanoid Control
-
Dr. SHAP-AV: Decoding Relative Modality Contributions via Shapley Attribution in Audio-Visual Speech Recognition
-
Syll: Open-Source Personal Automation with Cross-Surface Execution
-
EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification
-
MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets
-
Standpoint Logics with Defeasible Beliefs
-
Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration
-
KITE: A Tri-Modal Transformer Integrating Text, Images, and Knowledge Graphs for Fake News Detection
-
Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning
-
Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning
-
What neurosurgeons need to see: synthetic intra-operative MRI from ultrasound for brain-shift compensation in brain tumour surgery
-
Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs
-
BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching
-
FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention
-
Transfer learning for causal forest
-
Internalizing Geometric Law: Learning from Solver Residuals for Precision-Critical Generation
-
FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing
-
OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics
-
MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance
-
Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models
-
When Do Diffusion Models learn to Generate Multiple Objects?
-
Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
-
OpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision
-
MEC-Cox: Machine-Learning-Assisted Generalized Entropy Calibration for ATT Marginal Hazard-Ratio Estimation
-
LARP: Learner-Agnostic Robust Data Prefiltering
-
Efficient Skill Grounding via Code Refactoring with Small Language Models
-
GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning
-
InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs
-
Collaborative Human-Agent Protocol (CHAP)
-
DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home
-
From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs
-
From 0-to-1 to 1-to-N: Reproducible Engineering Evidence for MetaAI Recursive Self-Design
-
SLMJury: Can Small Language Models Judge as Well as Large Ones?
-
RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks
-
Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
-
GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors
-
A VideoMAE-v2 Approach to Zero-Shot Traffic Accident Anticipation
-
SwiftVR: Real-Time One-Step Generative Video Restoration
-
When Vision Misleads, Let Location Speak: A Worldwide Image Geo-Localization Method via Location Attention Mechanism and Large Multimodal Models
-
TIDE: Task-Isolated Diffusion for Unified Video Editing and Generation
-
ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors?
-
DALE-CT: Depth-Aware Foundation Models for Computed Tomography
-
TBD-VLA: Temporal Block Diffusion Vision Language Action Model
-
REACT 2026: The Fourth Multiple Appropriate Facial Reaction Generation Challenge: Personalised MAFRG and Appropriate EEG Reaction Prediction
-
DyCo-RL: Dynamic Cross-Modal Coordination for Visual Reasoning
-
OmniTryOn: Video Try-On Anything at Once!
-
BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving
-
SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders
-
PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping
-
HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging
-
OmniGen-AR: AutoRegressive Any-to-Image Generation
-
TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation
-
CP4D: Compositional Physics-aware 4D Scene Generation
-
Claude Code-Driving Scenario Mining for the Argoverse 2 Challenge
-
Latent Spatial Memory for Video World Models
-
POTATR: A Lightweight Image-to-Graph Model for Page-Level Table Extraction
-
Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration
-
Programmable Silicon Retina on Pixel Processor Array
-
X-Palm: Paired Multispectral-to-Smartphone Dataset for Cross-Domain Palmprint Authentication
-
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
-
C$^3$ache: Accelerating World Action Models with Cross Inference Chunk Cache
-
Contour Field based Elliptical Shape Prior for the Segment Anything Model
-
SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing
-
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation
-
MOLOT System Card: Malicious Operational Logic Observation Transformer
-
UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models
-
MedVeriSeg: Teaching LISA-Like Medical Segmentation Models to Verify Query Validity Without Extra Training
-
What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks
-
EdgeFM: Efficient Edge Inference for Vision-Language Models
-
Visual Template Inference for Data Extraction from Documents
-
TraversalBench: Challenging Paths to Follow for Vision Language Models
-
Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
-
UniADC: A Unified Framework for Anomaly Detection and Classification
-
AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
-
AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
-
Function-Vector Heads Are Two Populations: Writers and Cancellers in In-Context Learning
-
Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation
-
Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection
-
Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms
-
Learning to Solve Generative ODEs Beyond the Linear Span
-
CHROMA: Detecting AI-Generated Images through Inter-Channel Color-Space Correlations
-
QnRL: Quantum-Native Reinforcement Learning
-
IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking
-
SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)
-
Automating the Expert Eye: A System-Agnostic Deep Learning Framework for Rare Event Discovery in Imbalanced Force Spectroscopy
-
PriFT: Prior-Support Guided Supervised Fine-Tuning
-
MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation
-
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets
-
Discovering Functionally Selective Brain Regions with a Deep Topographic Multimodal Model
-
Calibration of Structured Ignorance Certificates for Diagnosing Unknown Unknowns in Reasoning Models
-
FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
-
Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation
-
IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
-
Towards Automated Kernel Generation in the Era of LLMs
-
Insertion Based Sequence Generation with Learnable Order Dynamics
-
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
-
RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms
-
Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition
-
SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
-
Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Sound
-
Brain2Text Decoding Model Reveals the Neural Mechanisms of Visual Semantic Processing
-
Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones
-
VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
-
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
-
XCR-Bench: Benchmarking Cross-Cultural Reasoning in LLMs via Culture-Specific Items and Hall's Triad
-
A Mixed Diet Makes DINO An Omnivorous Vision Encoder
-
CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
-
A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics
-
Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
-
When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents
-
A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design
-
CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
-
APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music
-
DynamicPO: Dynamic Preference Optimization for Recommendation
-
Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
-
Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis
-
Automated Framework to Evaluate and Harden LLM System Instructions against Encoding Attacks
-
WhiteTesseract: Reframing the Interpretation of Cultural Heritage through XR and Conversational AI
-
Post-Trained MoE Can Skip Half Experts via Self-Distillation
-
Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework
-
Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
-
De novo molecular generation with optical property preconditioning at the token level
-
Routine laboratory trajectories encode the onset of organ-level complications in cancer
-
Hierarchical Projection for Adaptive Knowledge Transfer
-
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
-
SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History
-
Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy
-
AttentionCap: Transformer Based Capacitance Matrix Learning Toward Full-Chip Extraction
-
Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
-
AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models
-
The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection
-
AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement Learning
-
Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program Search
-
The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning
-
PROBE-Web: An Interactive System for Probing Evaluation Landscapes of Knowledge Graph Completion Models
-
Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets
-
iOSWorld: A Benchmark for Personally Intelligent Phone Agents
-
A Unifying Framework for Concept-Based Representational Similarity
-
Breaking the Tokenizer Barrier: On-Policy Distillation across Model Families
-
Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models
-
BUDDY: BUdget-Driven DYnamic Depth Routing for Adaptive Large Language Model Inference
-
Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese
-
Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
-
VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation
-
"I understand your perspective": LLM Persuasion and Sycophancy through the Lens of Communicative Action Theory
-
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models
-
Rewrite to Translate, Translate to Reward: Reinforcement Learning for Source Rewriting in Machine Translation
-
Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems
-
Human-Centered Benchmarking of Driver Monitoring Models
-
RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations
-
Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard
-
Explaining Data Mixing Scaling Laws
-
Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR
-
Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy
-
Impacts of Histories and Models on LLM Grading: A Study in Advanced Software Engineering Courses
-
Hiding in Plain Floats: Steganographic Carriers for Indirect Prompt and Content Injection
-
GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models
-
An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response
-
ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies
-
STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control
-
CRANE: Knowledge Editing for Reasoning MLLMs
-
Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models
-
Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries
-
BioVid: Autoregressive Video Generation with Biological Behavior Semantic Comprehension
-
Agentic Search for Counterfactual Recourse under Fixed LLM Budgets
-
Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning
-
TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs
-
From USD Scenes to Knowledge Graphs: Zero-Shot Ontology Grounding with LLMs
-
Stage-1 Controls the Entropy Regime, Not the Outcome
-
Hardening Agent Benchmarks with Adversarial Hacker-Fixer Loops
-
NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
-
Optimizing Energy-based Neural Network Training with Coherent Ising Machine
-
Real-time body pose non-verbal communication with a consistency-based reliability measure
-
Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language Models
-
Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation
-
EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
-
Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short
-
SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
-
Safe-RULE: Safe Reinforcement UnLEarning
-
Emergence of Context Characteristics Sensitivity in Large Language Models
-
CT-VAM: A Cerebello-Thalamic-Inspired Vision-Action Model for Efficient Visuomotor Control
-
Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPO
-
FMplex: Model Virtualization for Serving Extensible Foundation Models
-
FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks
-
AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library
-
CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning
-
Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs
-
Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP
-
Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AI
-
Playing Devil's Advocate: Off-the-Shelf Persona Vectors Rival Targeted Steering for Sycophancy
-
EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale
-
Executable World Models for ARC-AGI-3 in the Era of Coding Agents
-
NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
-
ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
-
ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning
-
Latent Geometry Beyond Search: Amortizing Planning in World Models
-
Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy
-
GS-KAN: Parameter-Efficient Kolmogorov-Arnold Networks via Sprecher-Type Shared Basis Functions
-
LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
-
SecretFan: Synthesizing Realistic Data without Breaking Privacy
-
Controllable Molecular Generative Foundation Models
-
ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics
-
Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
-
GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution
-
Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying
-
RhinoVLA Technical Report
-
Self-evolving LLM agents with in-distribution Optimization
-
Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes
-
$\alpha$-PFN: Fast Entropy Search via In-Context Learning
-
Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling
-
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
-
Accelerating Reproducible Research in Synthetic EHR Generation
-
Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning
-
Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis
-
MalTree: Tracing Malware Evolution from Embeddings at Scale
-
Attention Consistent Longitudinal Medical Visual Question Answering Guided by Vision Foundation Models
-
OpenSkill: Open-World Self-Evolution for LLM Agents
-
AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps
-
ShallowBench: Benchmarking Generative Drug Design Models on Shallow-Pocket Targets
-
Geometric Second-Order Feature Correlation Learning for Self-Supervised Speech Emotion Recognition
-
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
-
Didact: A Cross-Domain Capability Discovery System for Defence
-
OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios
-
Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems
-
SCALE: Scalable Cross-Attention Learning with Extrapolation for Agentic Workflow Scheduling
-
Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers
-
FreeAnimate: Training-Free Human Image Animation with Preview-Guided Denoising
-
TRACE: Trajectory Reasoning through Adaptive Cross-Step Evidence Aggregation for LLM Agents
-
What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media
-
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces
-
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
-
GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection
-
MetaConfigurator: AI-Assisted RDF Authoring from JSON Data
-
DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming
-
CULTURESCORE: Evaluating Cultural Faithfulness in Video Generation Models
-
Hierarchical Certified Semantic Commitment for Byzantine-Resilient LLM-Agent Collaboration
-
When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations
-
SV-Detect: AI-generated Text Detection with Steering Vectors
-
Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncoders
-
MACD: Model-Aware Contrastive Decoding via Counterfactual Data
-
LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms
-
Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA
-
Should You Use Your Large Language Model to Explore or Exploit?
-
Database Normalization via Dual-LLM Self-Refinement
-
Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban China
-
SWE-IF: Aligning Code Evaluation with Human Preference
-
Evaluating AI-based Scientific Knowledge Synthesis with Epidemiological Systematic Reviews
-
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
-
Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry
-
Endogenous Resistance to Activation Steering in Language Models
-
TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection
-
OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation
-
PromptPrint: Behavioral Biometrics Through Natural Language Prompting in LLMs
-
mmPISA-bench: Do LLMs Reason Equally Well Across 43 Languages?
-
MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights
-
Korean Culture into LLM Alignment: Toward Cultural Coherence
-
Quantifying Media Representation Dynamics Across 25 Years of News Reporting on Policing-related Deaths
-
An Expanded Synthetic Conversation Dataset for Multi-Turn Smishing Detection
-
Beyond Rubrics: Exploration-Guided Evaluation Skills for Reward Modeling
-
Explicit Evidence Grounding via Structured Inline Citation Generation
-
From Correctness to Utility: Gain-Based Prefix Evaluation for LLM Reasoning
-
SEEK: Steering LLM Reasoning for RAG via Internal Reasoning Sketches
-
Geometry of Semantic Space: Comparative Study of Discrete and Continuous Models
-
Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese
-
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
-
Agentopia: Long-Term Life Simulation and Learning in Agent Societies
-
Meaning in Order, Order in Meaning: Semantic R-precision for Keyphrase Evaluation
-
HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG
-
Applying Deep Learning for cockpit segmentation in the context of mixed reality
-
The Necessity of Setting Temperature in LLM-as-a-Judge
-
DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection
-
Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs
-
ForensicConcept: Transferable Forensic Concepts for AIGI Detection
-
OpenGlass: Open-Source Smart Glasses for On-Device Event-Based Gesture Recognition
-
Advanced Flood Prediction with Physics-Guided Deep Learning: Combining UNet, FNO, and SAR/Optical Imagery
-
MacArena: Benchmarking Computer Use Agents on an Online macOS Environment
-
LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G
-
Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection
-
Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns
-
MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval
-
GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning
-
When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editing
-
It's a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web Agents
-
Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
-
EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering
-
Limitations of Normalization in Attention Mechanism
-
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
-
Generative Models Erode Human Temporal Learning Through Market Selection
-
MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models
-
A Dynamic Self-Evolving Extraction System
-
OffQ: Taming Structured Outliers in LLM Quantization by Offsetting
-
Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation
-
How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures
-
AEGIS: A Backup Reflex for Physical AI
-
CrowdMath: A Dataset of Crowdsourced Mathematical Research Discussions
-
Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle
-
Topology-Aware Skeleton Detection via Lighthouse-Guided Structured Inference
-
The Geometry of Last-Layer Model Stealing
-
Bootstrap Theory of Representational Emergence: Explanatory Insufficiency as a Driver of Representation Learning and World Models
-
LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics
-
Second-Order Path Kernel Interpolation Formulas in Machine Learning
-
Physics Guided Generative Optimization for Trotter Suzuki Decomposition
-
Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
-
HKJudge: A Legal Discourse-Annotated Corpus for Interpreting What Courts Find, How They Reason, and What They Rule
-
LLM-Guided Search for Deletion-Correcting Codes
-
EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks
-
Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning
-
RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs
-
GradShield: Alignment Preserving Finetuning
-
Beyond Universality: The GCC-FER Dataset and Culture-Aware Adaptation for Dynamic Facial Expression Recognition
-
Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation
-
FIGMA: Towards FIne-Grained Music retrievAl
-
Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam Videos
-
Re-Centering Humans in LLM Personalization
-
ActionMap: Robot Policy Learning via Voxel Action Heatmap
-
From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video
-
Are Large Language Models Suitable for Graph Computation? Progress and Prospects
-
Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
-
The Geometry of Representational Failures in Vision Language Models
-
Improving Cross-Lingual Factual Recall via Consistency-Driven Reinforcement Learning
-
M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions
-
PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration
-
Real-Time AttentionBender: Granular Interactive Network Bending of Video Diffusion Transformers
-
Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
-
Which Anatomy Matters Under Limited Labels? A Data-Efficient Anatomy-Aware Benchmark for Cardiac Pathology Prediction
-
DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
-
TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment
-
ChemQuests: A Curated Chemistry Question-Answer Database Extracted from ChemRxiv papers
-
LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling
-
TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
-
Automatic Causal Fairness Analysis with LLM-Generated Reporting
-
The Dark Regulome: Disentangling Predictability from Regulation in Genomic Foundation Models
-
LLM-Guided Evolution for Medical Decision Pipelines
-
MMAE: A Massive Multitask Audio Editing Benchmark
-
Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
-
RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation
-
Knowledge Activation: AI Skills as the Institutional Knowledge Primitive for Agentic Software Development
-
TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory
-
Data Flow Control: Data Safety Policies for AI Agents
-
AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling
-
EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction
-
GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks
-
ADK Arena: Evaluating Agent Development Kits via LLM-as-a-Developer
-
Finite Element-Based Material Learning via Automatic Differentiation: Learning constitutive neural network models from full-field deformation data
-
VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents
-
Closing the Loop on Latent Reasoning via Test-Time Reconstruction
-
PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models
-
Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems
-
RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
-
Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents
-
QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving
-
From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM Agents
-
Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack
-
Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation
-
How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment
-
Answer Presence Drives RAG Rewriting Gains
-
SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization
-
Brick-Composer: Using MLLMs for Assembly with Diverse Bricks
-
Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents
-
Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models
-
WorldFly: A World-Model-Based Vision-Language-Action Model for UAV Navigation
-
TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models
-
TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management
-
Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety
-
FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG
-
PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation
-
CogManip: Benchmarking Manipulative Behavior in Multi-Turn Interactions with Large Language Model
-
From Attack Simulation to SIEM Rule: Deterministic Detection-as-Code Synthesis with Probe-Level Traceability
-
TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
-
Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things
-
SAGE: Scalable AI Governance & Evaluation
-
Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and Refinement
-
Tamaththul3D: High-Fidelity 3D Saudi Sign Language Avatars from Monocular Video
-
Global Cross-Modal Geo-Localization: A Million-Scale Dataset and a Physical Consistency Learning Framework
-
CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe
-
When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
-
CUCo: An Agentic Framework for Compute and Communication Co-design
-
Surrogate Neural Architecture Codesign Package (SNAC-Pack)
-
GridPE: A Grid Cell-Inspired Unified Position Embedding for Arbitrary-Dimensional Spaces
-
UniPixie: Unified and Probabilistic 3D Physics Learning via Flow Matching
-
BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding
-
T-FunS3D: Task-Driven Hierarchical Open-Vocabulary 3D Functionality Segmentation
-
LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing
-
DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments
-
SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation
-
EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
-
StoryVideoQA: Scaling Deep Video Understanding with a Large-Scale, Multi-Genre and Auto-Generated Dataset
-
Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges
-
LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization
-
Less is MoE: Trimming Experts in Domain-Specialist Language Models
-
Membrane: A Self-Evolving Contrastive Safety Memory for LLM Agent Defense
-
SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents
-
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
-
HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care
-
When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet
-
Tangram: Unlocking Non-Uniform KV Cache for Efficient Multi-turn LLM Serving
-
End-to-End Subgraph Detection with GraphDETR
-
HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
-
Harnessing Source Heterogeneity for Cluster-Structured Transfer Learning
-
English-to-Prakrit Machine Translation via Multilingual Transfer Learning
-
EGTR-Review: Efficient Evidence-Grounded Scientific Peer Review Generation via Multi-Agent Teacher Distillation
-
Automatic Labelling of Speech Translation Errors
-
IR3DE: A Linear Router for Large Language Models
-
FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition
-
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs
-
CollabSim: A CSCW-Grounded Methodology for Investigating Collaborative Competence of LLM Agents through Controlled Multi-Agent Experiments
-
HDST-GNN: Heterogeneous Dynamic Spatiotemporal Graph Neural Networks for Multi-Object Tracking in UAV Aerial Imagery
-
ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy Distillation
-
Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery
-
Statistically Reliable LLM-Based Ranking Evaluation via Prediction-Powered Inference
-
DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance
-
Harnessing Generalist Agents for Contextualized Time Series
-
Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding
-
Rethinking Meeting Effectiveness: A Benchmark and Framework for Temporal Fine-grained Automatic Meeting Effectiveness Evaluation
-
Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions
-
AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents
-
Pattern Selectivity is Not Task-Causal Structure: A Cross-Architecture Mechanistic Study of Composed-Task Circuits in 1B-Class Language Models
-
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamics
-
Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection
-
TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness
-
OLIVE: Online Low-Rank Incremental Learning for Efficient Adaptive Exoskeletons
-
Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples
-
Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
-
"Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard
-
HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
-
Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
-
Personal AI Agent for Camera Roll VQA
-
ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification
-
LiAuto-GeoX: Efficient Grounded Driving Transformer
-
MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for Chemistry
-
HyperVis: Continuous Latent Visual Relational Graphs on the Lorentz Hyperboloid for Compositional Reasoning
-
The Stability of Online Algorithms in Performative Prediction
-
Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators
-
PAR3D: A Unified 3D-MLLM with Part-Aware Representation for Scene Understanding
-
Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors
-
Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMs
-
TLA-Prover: Verifiable TLA+ Specification Synthesis via Preference-Optimized Low-Rank Adaptation
-
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study
-
Efficient Punctuation Restoration via Weighted Lookahead Scoring Method for Streaming ASR Systems
-
A Model of Multi-turn Human Persuadability Using Probabilistic Belief Tracing
-
From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment
-
LANTERN: Layered Archival and Temporal Episodic Retrieval Network for Long-Context LLM Conversations
-
AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM Agents
-
InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization
-
AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints
-
No Need to Train Your RDB Foundation Model
-
Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting
-
Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models
-
AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding
-
Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
-
JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification
-
Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
-
Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios
-
MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering
-
PyCC.id: A package for hypothesis-driven equation discovery with structural identifiability
-
Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming
-
DNQ: Deep Nash Q-Network for Partially Observable n-Player Games
-
ProSarc: Prosody-Aware Sarcasm Recognition Framework via Temporal Prosodic Incongruity
-
A Vision-language Framework for Comparative Reasoning in Radiology
-
ActiveMimic: Egocentric Video Pretraining with Active Perception
-
ShotCrop$^3$: Cropping Human-Centric Images into Cinematic Triple-Shot Compositions
-
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
-
DocHop-QA: Towards Multi-Hop Reasoning over Multimodal Document Collections
-
CamFlow+: Hybrid Motion Bases for 2D Camera Motion Estimation with Stabilization Applications
-
Faithful, Enriched, and Precise: Benchmarking Natural-Science Illustration Generation by T2I models
-
Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models
-
The Granularity Gap: A Multi-Dimensional Longitudinal Audit of Sycophancy in Gemini Models
-
MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models
-
CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning
-
SkillComposer: Learning to Evolve Agent Skills for Specification and Generalization
-
UNIVID: Unified Vision-Language Model for Video Moderation
-
Scaffold, Not Vocabulary? A Controlled, Two-Tier, Pre-Registered Study of a Popperian Code-Generation Skill
-
Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion
-
CLFEC: A New Task for Unified Linguistic and Factual Error Correction in paragraph-level Chinese Professional Writing
-
LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
-
RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit
-
Narrative Knowledge Weaver: Narrative-Centric Retrieval-Augmented Reasoning for Long-Form Text Understanding
-
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
-
ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQL
-
LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation
-
EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents
-
Epistemic Injustice in Language Models: An Audit of Pretraining Filters and Guardrails
-
Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries
-
Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin
-
PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models
-
Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language Models
-
Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)
-
TextWand: A Unified Framework for Scene Text Editing
-
SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions
-
MIRAI: Prediction and Generation of High-Impact Academic Research
-
SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations
-
MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction Following
-
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
-
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
-
Generating Financial Time Series by Matching Random Convolutional Features
-
U-Net-Accelerated Quality-Diversity Optimization for Climate-Adaptive Urban Layouts
-
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters
-
EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning
-
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
-
HalfNet: Randomized Neural Networks with Learned Subspace Geometry
-
AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization
-
Towards Pretraining Text Encoders for TabPFN
-
Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC
-
When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction
-
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
-
WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia
-
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations
-
VentAgent: When LLMs Learn to Breathe -- Multi-Objective Arbitration for ARDS Ventilation
-
Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic
-
Worker Utility as Hysteresis: A Preisach Model of Transaction Acceptance in Gig Labour Markets
-
veriFIRE: an Industrial Case Study in Verifying Consistency Properties for a DNN-Based Wildfire Detection System
-
Scaling Datasets for Multi-Sensor, Multi-Agent, and Multi-Domain Learning in Autonomous Systems
-
Belief-Aware VLM Model for Human-like Reasoning
-
Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventions
-
AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors
-
CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles
-
Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization
-
Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA
-
DMT-CBT: Longitudinal Therapeutic State Modeling for CBT Counseling
-
From Script to Semantics: Prompting Strategies for African NLI
-
When Does Complexity Conditioning Help a Frozen Sentence Embedding? A Controlled Study of Per-Sentence and Pair-Level Difficulty Adaptation
-
Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization
-
EURO-5K: When Does Domain Pretraining Matter? Benchmarking Transformers for EU Reporting Obligation Extraction
-
Fast-dLLM++: Fr\'{e}chet Profile Decoding for Faster Diffusion LLM Inference
-
Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden States
-
Greener Than Humans? Environmental Attitudes in Large Language Models
-
Evaluating LLMs' Effectiveness on Real-World Consumer Device Repair Questions
-
ERP-XTTN: Interpretable Prototype-Guided Cross-Attention for Cross-Subject ERP Classification
-
Fast Unlearning at Scale via Margin Self-Correction
-
Multilingual Unlearning in LLMs: Transfer, Dynamics, and Reversibility
-
SEA-NLI: Natural Language Inference as a Lens into Southeast Asian Cultural Understanding
-
Pretraining Language Models on Historical Text
-
EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge
-
Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling
-
RRISE: Robust Radius Inference via a Surrogate Estimator
-
WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents
-
MemTrain: Self-Supervised Context Memory Training
-
PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training
-
BA-T: An Iterative Transformer for Two-View Bundle Adjustment
-
TASE: Truncation-Aware Semantic Embeddings for 3D Scene Understanding and Editing
-
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
-
PerchRL: Vision-Based Agile Perching on Inclined Platforms under Rapid and Irregular Motion
-
Optimized Labeling Resource Allocation for Prediction-Assisted Inference via OPAL
-
Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study
-
ARBOR: Online Process Rewards via a Reusable Rubric Buffer for Search Agents
-
SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series
-
RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
-
PhotoCraft: Agentic Reasoning with Hierarchical Self-Evolving Memory for Deep Image Search
-
Lexicons and grammars for language processing: industrial or handcrafted products?
-
WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifacts
-
SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
-
Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation
-
StreamingVLM: Real-Time Understanding for Infinite Video Streams
-
AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning
-
Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations
-
From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users
-
I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications
-
ToolFG: Towards Well-Grounded Fine-Grained Image Classification
-
TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents
-
Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
-
BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution
-
retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers
-
TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim Generation
-
PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
-
Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor Distances
-
Explainable Forensics of Manipulated Segments in Untrimmed Long Videos
-
HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image
-
Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models
-
AlbedoEdit: Unified Instance-Level Video Editing with Albedo Guidance
-
Contrastive Augmented Transformer with Domain-specific Enhancement for Robust Multi-scenario Metal Surface Defect Detection
-
VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
-
MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition
-
VDSB-GWSyn: Diffusion Schr\"{o}dinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography
-
SpikeWFM: Spiking-Aided Wireless Foundation Model for Robust Channel Prediction
-
CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI Evaluations
-
A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features
-
Leyline: KV Cache Directives for Agentic Inference
-
A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation
-
Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference
-
Quantifying the Energy Floor: Direct Measurement and Replay Buffer Bias in SAC-Based HVAC Control on sbsim
-
CANARY: Zero-Label Detection of Fine-Tuning Contamination in Language Models
-
LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems
-
BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization
-
World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications
-
LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching
-
Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference
-
A Pre-Training Analogue of Grokking in Language Models: Tracing Delayed Grammatical Generalization
-
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
-
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
-
Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
-
DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
-
OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models
-
Interpretable Modeling of Driver Attention Shifts with a Vision--Language Model
-
Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG
-
CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps
-
Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning
-
MedGym:A Unified Continuous-Time Benchmark for Dynamic Medical Treatment Reinforcement Learning
-
Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning
-
PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis
-
TRACE: Trajectory Risk-Aware Compression for Long-Horizon Agent Safety
-
ForeSci: Evaluating LLM Agents for Forward-Looking AI Research Judgment
-
WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis
-
EVA-Net: Subject-Independent EEG Motor Decoding with Video-Derived Motor Priors
-
CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Cloud-Edge Systems
-
FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search
-
TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection
-
CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation
-
RescueBench: Can Embodied Agents Save Lives in the Wild ?
-
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
-
VESTA: Visual Exploration with Statistical Tool Agents
-
When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
-
"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills
-
Prototype Transformer: Towards Language Model Architectures Interpretable by Design
-
Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework
-
Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval
-
Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs
-
ViBE: Co-Optimizing Workload Skew and Hardware Variability for MoE Serving
-
Learning When to Translate for Multilingual Reasoning
-
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
-
Retrieve What's Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation
-
LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection
-
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
-
NILC: Discovering New Intents with LLM-assisted Clustering
-
ADRA-Bank: A Modular Benchmark for Academic Deep Research Agents
-
Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval
-
A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models
-
LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation
-
Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
-
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
-
X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding
-
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling
-
Atomix: Timely, Transactional Tool Use for Reliable Agentic Workflows
-
MineDraft: A Framework for Batch Parallel Speculative Decoding
-
Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis
-
Belief Consistency Between Foundation-Model Evidence and Geometric Perception in Persistent Robotic Maps
-
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
-
Automated Conjecture Resolution with Formal Verification
-
PlatonicNav: Unveiling Semantic Correspondence in Navigation with Platonic Topological Maps
-
Hist2Style: Histogram-Guided Stylization with Bilateral Grids
-
Ablating Archetypes: The Stability of Archetypal SAEs is an Artifact of Initialization and Metric Design
-
Closed-Loop Neural Activation Control in Vision-Language-Action Models
-
Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
-
TIGER: Traceable Inference with Graph-Based Evidence Routing for Mitigating Hallucinations in Multimodal Generation
-
From "Weak" Signals to Strong Models: Preference Delta Aggregation with LoRA Merging
-
From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs
-
AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research
-
MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation
-
FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes
-
SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation
-
RoboDream: Compositional World Models for Scalable Robot Data Synthesis
-
Grokers: Bottom-Up Inductive Comprehension and Write-Time Intelligence over Typed Knowledge Graphs
-
Question-Aware Evidence Ledgers for Video Relational Reasoning
-
Repurposing Adversarial Perturbations for Continual Learning: From Defense to Active Alignment
-
Evolving to the Aesthetics of a Vision-Language Model
-
On Wednesdays, We Ask Questions: Optimizing "Active Listening" in Automated Legal Triage and Referral
-
MESA: Improving MoE Safety Alignment via Decentralized Expertise
-
Task Structure Reverses Layerwise State Encoding in Sequence Models
-
Digging Up Citations: FOSSIL, a Dataset and Workflow for Reference Extraction in Law and the Humanities
-
Quality Audio Prototyping: a prototype system for unified sound retrieval and procedural generation
-
TECCI: Tricky Edits of Collected and Curated Images
-
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
-
Hierarchical Online Prompt Mutation with Dual-Loop Feedback for Guardrailed Evidence Document Generation: A Production-Evaluation Case Study
-
IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
-
Self-Conditioned Positional HNSW for Overlap-Aware Retrieval in Chunked-Document RAG Systems: Method and Industrial Evidence-Quality Audit
-
Domain-Shift-Aware Conformal Prediction for Large Language Models
-
A Finite-Calibration Regime Map for LLM Judge Panels
-
SafeSteer: Localized On-Policy Distillation for Efficient Safety Alignment
-
ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
-
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
-
HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filings
-
LaSR: Context-Aware Speech Recognition via Latent Reasoning
-
AlphaToken: Decoupling Adaptation and Stability for Path-Aware Response Token Valuation in LLM Post-Training
-
Argument Collapse: LLMs Flatten Long-Form Public Debate
-
CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs
-
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
-
When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation
-
SimSD: Simple Speculative Decoding in Diffusion Language Models
-
CRAFTQA: A Code-Driven Adaptive Framework for Complex Structured Data Reasoning
-
RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic Manipulation
-
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
-
RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare
-
Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs
-
ACON: Optimizing Context Compression for Long-horizon LLM Agents
-
Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation Cues
-
When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding
-
Geometric Latent Reasoning Induces Shorter Generations in LLMs
-
PlanarBench: Evaluating LLM Spatial Reasoning via Planar Graph Drawing
-
TriAlign: Towards Universal Truth Consistency in Personalized LLM Alignment
-
PortBERT: Navigating the Depths of Portuguese Language Models
-
Cross-Environment Neural Reranking for Sample-Efficient Action Selection in Text-Based Agents
-
Consistency Training while Mitigating Obfuscation via Rate Matching
-
Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes
-
ART: Attention Run-time Termination for Efficient Large Language Model Decoding
-
BraveGuard: From Open-World Threats to Safer Computer-Use Agents
-
Evaluating the Reversal Curse in Model Editing
-
Prior-Guided Multi-Omic Transformers for Single-Cell Gene Regulatory Network Inference
-
Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation
-
Mapping the evolution of small reservoirs in Brazil from 1984 to 2025 using deep learning
-
Decoding in Order-Agnostic Language Models: Chain-Rule Deviation and Uniform Spreading
-
Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading
-
Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time
-
CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User Simulation
-
TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech
-
Cost-Aware Diffusion Draft Trees for Speculative Decoding
-
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
-
RCEM: Embedder Equipped with Query Rewriting Skill for Robust Conversational Search in Distributional Shift
-
When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models
-
Peacemaker at ATE-IT: Automatic term extraction from Italian text for waste management data using encoder model
-
Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
-
EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision
-
TukaBench: A Culturally Grounded Jailbreak Benchmark for African Languages
-
Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing
-
Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning
-
Towards a Physics Foundation Model
-
WAXAL-NET: Finetuned Edge ASR Across 19 African Languages
-
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
-
AtomEval: Validity-Aware Atomic Evaluation of Adversarial Claim Rewriting in Fact Verification
-
DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs
-
ExpWeaver: LLM Agents Learn from Experience via Latent RAG
-
MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models
-
Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs
-
EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks
-
FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search
-
Which Institutional Frameworks Do Chatbots Assume? Auditing Jurisdictional Defaults in Multilingual LLMs
-
Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning
-
ProactiveLLM: Learning Active Interaction for Streaming Large Language Models
-
LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs?
-
Sandboxed Coding Agents are Competitive Omni-modal Task Solvers
-
KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
-
Self-Improving Small Object Grounding in LVLMs
-
KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
-
Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture
-
A Systematic Benchmark of Machine Transliteration Models for the Tajik-Farsi Language Pair: A Comparative Study from Rule-Based to Transformer Architectures
-
Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
-
OCC-RAG: Optimal Cognitive Core for Faithful Question Answering
-
ResMerge: Residual-based Spectral Merging of Large Language Models
-
DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations
-
Towards Multidisciplinary Summarization of Hospital Stays: Efficient Sentence-Level Clinical Provenance Categorization
-
Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
-
Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders
-
Heterogeneous Decentralized Diffusion Models
-
NormEval: A Unified Multi-Metric Framework for Evaluating Semantic Fidelity in Text Normalization
-
MindZero: Learning Online Mental Reasoning With Zero Annotations
-
Deep Learning for Remote Sensing to Improve Flood Inundation Mapping
-
Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset
-
Parametric Social Identity Injection and Diversification in Public Opinion Simulation
-
ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
-
Flow Matching for Convective-Scale Precipitation Downscaling
-
Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
-
Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
-
SAVMap: Structure-Aided Visual Mapping of Large-Scale 2.5D Manhattan Wireframes from Panoramic Video
-
TROPHIES: Temporal Reconstruction of Places, Humans, and Cameras from Multi-view Videos
-
Domain Adaptation with a Single Vision-Language Embedding
-
Scaling Pre-training to One Hundred Billion Data for Vision Language Models
-
Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling
-
GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
-
Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
-
Divergence is Uncertainty: A Closed-Form Posterior Covariance for Flow Matching
-
scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns
-
Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers
-
TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted Reasoning
-
Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
-
The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space
-
MidSurfNet: Learnable Face Pairing and Interference Implicit Fields for Generalized Mid-surface Abstraction
-
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
-
RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network
-
PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery
-
SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training
-
Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation
-
AFUN: Towards an Affordance Foundation Model for Functionality Understanding
-
Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization
-
Robust Dreamer: Deviation-Aware Latent Gaussian Memory for Action-Controlled AR Video Generation
-
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
-
MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging
-
CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise Warping
-
HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
-
Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection
-
FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics
-
Counterfactual Trace Auditing of LLM Agent Skills
-
DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster Analytics
-
CoMem: Context Management with A Decoupled Long-Context Model
-
Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
-
How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science
-
Mitigating Content Shift and Hallucination in GenAI Image Editing via Structural Refinement
-
Function2Scene: 3D Indoor Scene Layout from Functional Specifications
-
DiTTo: Scalable Order-aware All-in-One Image Restoration Agent
-
PRISM: Progressive Reasoning through Iterative Slot Memory for Vision
-
VLM-GLoc: Vision-Language Model Enhanced Monte Carlo Localization for Robust Semantic Global Localization in Cluttered Quasi-Static Environments
-
LiftNav: Path Planning via Semantic Lifting in TSDF-Guided Gaussian Splatting
-
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
-
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
-
VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal Reasoning
-
Task-Focused Memorization for Multimodal Agents
-
OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
-
Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
-
Astra: a generalizable report generation foundation model for 3D computed tomography
-
SurGe: Improved Surface Geometry in Point Maps
-
Pull Requests as a Training Signal for Repo-Level Code Editing
-
Linear Scaling Video VLMs for Long Video Understanding
-
Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
-
TabCausal: Pretraining Across Causal Environments for Tabular Causal Discovery
-
Fixed Universal Transformers
-
Can BEV Perception Gracefully Degrade under Sensor Failures?
-
Joint Multi-Camera LiDAR Extrinsic Calibration via Learned Pairwise Initialization and Geometric Refinement
-
Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with glioma
-
Vanilla ViT for Automotive Point Cloud Semantic Segmentation
-
Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search
-
Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning
-
SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
-
AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness
-
Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning
-
VAD-GS: Visibility-Aware Densification for 3D Gaussian Splatting in Dynamic Urban Scenes
-
Hyperspectral Image Classification using Spectral-Spatial Mixer Network
-
Optimizing Rank for High-Fidelity Implicit Neural Representations
-
EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision
-
YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models
-
TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens
-
QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer
-
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
-
Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness
-
LegSegNet: A Public Deep Learning System for Lower Extremity CT Tissue Segmentation and Quantification
-
PEEK: Picking Essential frames via Efficient Knowledge distillation
-
WristCompass: Kinematic Coupling as a Learnable Visual Concept for Ego-Camera Orientation
-
HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters
-
Post-Training Neural Network Pruning using Graph Curvature
-
Go-UT-Bench: A Fine-Tuning Dataset for LLM-Based Unit Test Generation in Go
-
Re-examining Low Rank adaptation for private LLM fine-tuning
-
CacheProbe: Auditing Prompt Cache Isolation in Gateway APIs
-
Count Anything
-
MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance
-
Generalizing Multi-Scale Time-Series Modeling with a Single Operator
-
SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data
-
Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis
-
IRIS: time-structured manifold projections
-
GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
-
Eigenvectors of Experts are Training-free Non-collapsing Routers
-
GHOST: Geometry-Hierarchical Online Streaming Token Eviction for Efficient 3D Reconstruction
-
SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception-Memory Integration in Embodied Environments
-
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
-
FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models
-
AttenA+: Rectifying Action Inequality in Robotic Foundation Models
-
MOO: A Multi-view Oriented Observations Dataset for Viewpoint Analysis in Cattle Re-Identification
-
AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
-
Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
-
VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion
-
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
-
Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning
-
Extreme dynamic symmetry enables omnidirectional and multifunctional robots
-
The Curse of Helpfulness: Inverse Scaling Law in Robustness to Distractor Instructions via DistractionIF
-
Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
-
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
-
HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering
-
Make LLM Learn to Synthesize from Streaming Experiences through Feedback
-
Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent
-
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
-
BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse Autoencoders
-
Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in Chinese
-
DeepSurvey: Enhancing Analytical Depth and Citation Reliability in Automated Survey Generation
-
SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
-
GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
-
unix-ctf: Procedural Environments for Unix-Competence Reinforcement Learning
-
Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning
-
CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials
-
CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval
-
Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
-
Mitigating Hallucination in Vision-Language Models through Barrier-Regulated Adaptive Closed-form Steering
-
HoliTok:A Coutinuous Holistic Tokenization with Robust Dual Capabilities of Speech Generation and Understanding
-
Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
-
AIRGuard: Guarding Agent Actions with Runtime Authority Control
-
Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models
-
Code-QA-Bench: Separating Code Reasoning from Documentation Memorization in Repository-Level QA
-
From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges
-
Robust and Generalizable Safety Steering for Text-to-Image Diffusion Transformers
-
On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference
-
Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents
-
Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
-
Explainable AI in Speaker Recognition -- Making Latent Representations Understandable
-
When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models
-
Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
-
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
-
The Alignment Floor: How Persona Customization Breaks Safety in Weakly-Aligned LLMs
-
Molecular Lead Optimization via Agentic Tool Planning
-
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data
-
Bastion: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting
-
libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps
-
CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs
-
Embodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language Models
-
Optimizing Latent Representations for Robust Building Damage Assessment Onboard Earth Observation Satellites
-
SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape Generation
-
FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
-
FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection
-
OmniAID: Decoupling Semantic and Artifacts for Universal AI-Generated Image Detection in the Wild
-
On-Policy Replay for Continual Supervised Fine-Tuning
-
M\=oLe-{\Lambda}: Learning the Coupled-Cluster Response State for Energies, Gradients, and Properties
-
MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
-
Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation
-
MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Settings
-
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language
-
AdaState: Self-Evolving Anchors for Streaming Video Generation
-
Architecture-Sensitive Supervised Fine-Tuning for Screen-Conditioned Action Prediction: A PiSAR Benchmark
-
SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection
-
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
-
PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning
-
CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent Systems
-
Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
-
Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
-
Dissecting the Black Box: Circuit-Level Analysis of LLM Vulnerability Detection
-
AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling
-
DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain
-
VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element Analysis
-
Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling
-
PassNet: Scaling Large Language Models for Graph Compiler Pass Generation
-
MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs
-
Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation
-
VikingMem: A Memory Base Management System for Stateful LLM-based Applications
-
OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields
-
Moment-KV: Momentum-Based Decode-Time KV Cache Compression for Long Generation
-
Formalizing Mathematics at Scale
-
AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
-
UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering
-
City-Mesh3R: Simulation-Ready City-Scale 3D Mesh Reconstruction from Multi-View Images
-
KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning
-
ESAM++: Efficient Online 3D Perception on the Edge
-
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
-
YoCausal: How Far is Video Generation from World Model? A Causality Perspective
-
OmniCD: A Foundational Framework for Remote Sensing Image Change Detection Guided by Multimodal Semantics
-
LLMBridge: An LLM Pipeline for End-to-end Referential Bridging Resolution in English
-
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
-
MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
-
REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image
-
Sequential Physics-Constrained Neural Operator Forward Modeling for the $\textit{Norne}$ Reservoir System
-
MusTBENCH: Benchmarking and Advancing Temporal Grounding in Music LLMs
-
Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning Perspective
-
Revisiting Observation Reduction for Web Agents: Comprehensive Evaluation with a Lightweight Framework
-
Recurrent Structural Policy Gradient for Partially Observable Mean Field Games
-
NeuROK: Generative 4D Neural Object Kinematics
-
AsymVLM: Asymmetric Token Pruning for Efficient Vision-Language Model Inference
-
ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control
-
RAISE: RAG Design as an Architecture Search Problem
-
Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs
-
Verifiable Rewards Beyond Math and Code: Lightweight Corpus-Grounded Process Supervision for Factual Question Answering
-
AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
-
Interactive In-Meeting Speaker Correction with Human Feedback
-
DGSG-Mind: Dynamic 3D Gaussian Scene Graphs for Long-Term Scene Understanding and Grounding
-
Entity-Collision: A Stratified Protocol for Attributing Retrieval Lift in Agent Memory
-
DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation
-
MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality
-
SpeedCP: Fast Kernel-based Conditional Conformal Prediction
-
ReactBench: A Cause-Driven Benchmark for Multimodal Hallucination via Systematic Evaluation
-
Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
-
Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models
-
Bandit Algorithms for Deep Brain Stimulation
-
FormalEvolve: Neuro-Symbolic Evolutionary Search for Diverse Autoformalization
-
Towards Consistent Video Geometry Estimation
-
LiveSVG: Zero-Shot SVG Animation via Video Generation
-
Do Deep Networks Forget Initialization? A Forgetting-Time View of Practical Inductive Bias
-
GenClaw: Code-Driven Agentic Image Generation
-
MarginGate: Sparse Margin-Triggered Verification for Batch-Invariant LLM Inference
-
GrepSeek: Training Search Agents for Direct Corpus Interaction
-
From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals
-
MMTM: Tri-Modal Topic Modeling for Long-Form Video via Similarity-Gated Fusion
-
SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation
-
The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data Plane
-
FPLIER: Federated Pathway-Level Information Extractor
-
SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing
-
Feature Geometry of LoRA Adapters: A Sparse Autoencoder Analysis of Representational Divergence in Fine-Tuned Language Models
-
EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
-
Horizon Activation Mapping for Neural Networks in Time Series Forecasting
-
A new completely parameter-free clustering algorithm for unsupervised classification of BATSE gamma-ray bursts
-
SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
-
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
-
Trends in AI and Human-AI Interaction in Clinical Trials -- A Hybrid Human-AI Exploration
-
Meta-Programming for Linear-time Temporal Answer Set Programming
-
Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
-
Robust Frequency-Calibrated Virtual EEG Channel Generation from Four Frontal Electrodes for Wearable EEG Augmentation
-
Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought
-
KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API Auditing
-
Conf-Gen: Conformal Uncertainty Quantification for Generative Models
-
PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions
-
ParCo-SDF: Learning Prior-Free Partial-to-Complete Signed Distance Fields of Deformable Objects
-
How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning
-
ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems
-
AgentCVR: Active Multi-Agent Cross-Video Reasoning via Script-Simulated Reinforcement Learning
-
Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move Sequences
-
Computational Modeling of Antibody-Antigen Complexes: PLM-Based and MSA-Based Approaches
-
Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning
-
EMAG: Differentiable 4D Gaussian Mixture Splatting for EEG Spatial Super-Resolution
-
ViASNet: A Video Ad Saliency Network for Predicting Dynamic Saliency and Viewer Engagement
-
GrowLoop: Self-Evolving Conversation Evaluation Seeded by Human
-
STAP: A Shuffle-Tokenized App Predictor with Ultra Long Context for Vocabulary-Free Mobile App Prediction
-
Enhancing LLM Training via Spectral Clipping
-
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
-
SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions in Semi-Supervised Learning
-
HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains
-
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
-
PhAME: Phenotype-Aware Molecular Editing via Latent Diffusion
-
NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
-
Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals
-
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
-
FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation
-
Long Live The Balance: Information Bottleneck Driven Tree-based Policy Optimization
-
Automating Formal Verification with Agent-Guided Tree Search
-
PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
-
ProgVLA: Progress-Aware Robot Manipulation Skill Learning
-
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
-
Continuous Diffusion Models Can Obey Formal Syntax
-
ClinicalEncoder26AM: A Multlilingual Diagnosable ColBERT Model; Evidences from the MultiClinNER Shared Task
-
Developing an Intelligent Job Recommendation System Using Semantic Retrieval and Explainable AI Techniques
-
OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models
-
Reading or Guessing? Visual Grounding Failures of Vision-Language Models for OCR in Ancient Greek Editions
-
CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision
-
Can Segmentation Models Understand the World? Towards Proactive Affordance Reasoning via Visual Chain-of-Thought
-
MaskClaw: Edge-Side Personalized Privacy Arbitration for GUI Agents with Behavior-Driven Skill Evolution
-
ChildEval: When large language models meet children's personalities
-
ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions
-
SmartDirector: Keyframe-Conditioned Cinematic Video Generation with Narrative Pacing Control
-
Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations
-
AndroidDaily: A Verifiable Benchmark for Mobile GUI Agents on Real-World Closed-Source Applications
-
Periodic RoPE for Infinite Context LLMs
-
Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses
-
Benchmarking and Mechanistic Analysis of Vision-Language Models for Cross-Depiction Assembly Instruction Alignment
-
RouteProfile: Graph-Based Profiling for Cold-Start LLM Routing
-
KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs
-
SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter
-
EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction
-
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
-
DEPART: DEcomposing PARiTy across Multilingual LLMs
-
SmartIterator: Visual Analytics Workflows for Supervising Unsupervised Data Grouping
-
Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation
-
Uni-LaViRA: Language-Vision-Robot Actions Translation for Unified Embodied Navigation
-
SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation
-
Routing-Aligned Fine-Tuning for Multilingual Downstream Tasks in Mixture-of-Experts Models
-
SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization
-
SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs
-
SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images
-
Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning
-
MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment
-
Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
-
EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering
-
SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation
-
REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detection
-
DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
-
SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping
-
From Pixels to Words -- Towards Native One-Vision Models at Scale
-
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
-
POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation
-
The Harder Text Embedding Benchmark (HTEB): Beyond One-dimensional Static Robustness
-
DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes
-
HRBench: Benchmarking and Understanding Thinking-Mode Switch Strategies in Hybrid-Reasoning LLMs
-
A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks
-
Bandwidth-Efficient and Privacy-Preserving Edge-Cloud Many-to-Many Speech Translation
-
TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM Reasoning
-
VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web Corpora
-
CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning
-
SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks
-
RAG-Coding: Enhancing LLM Medical Coding with Structured External Knowledge
-
Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM Agents
-
CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models
-
Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking
-
AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications
-
FABSVer: Faster Training and Better Self-Verification for LLM Mathematical Reasoning
-
Roles with Rails: Contract-Preserving Role Evolution in Multi-Agent Structured Reasoning
-
Eliot: Interactively $\underline{E}$xploring Fast-Changing Scientific $\underline{Li}$terature Trends with $\underline{O}$nline Da$\underline{t}$a and Learning
-
From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets
-
Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation
-
Supervised Distributional Reduction via Optimal Transport and Dependence Maximization
-
ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations
-
SkillGrad: Optimizing Agent Skills Like Gradient Descent
-
TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
-
EchoAvatar: Real-time Generative Avatar Animation from Audio Streams
-
What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025
-
SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment
-
Do Agents Think Deeper? A Mechanistic Investigation of Layer-Wise Dynamics in Sequential Planning
-
PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
-
GEM: Generative Supervision Helps Embodied Intelligence
-
MIRA: A Bilingual Benchmark for Medical Information Response Audit
-
SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats
-
OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings
-
Better Accuracies, Worse Reasoning: A Step-Level Audit of Medical Chain-of-Thought Distillation
-
SafeMed-R1: Clinician-Audited Safety and Ethics Alignment for Medical Large Language Models
-
CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict
-
MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation
-
DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
-
LACUNA: Safe Agents as Recursive Program Holes
-
StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation
-
DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers
-
FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales
-
PrunePath: Towards Highly Structured Sparse Language Models
-
HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
-
Blind PRNG Hijacking: An Undetectable Integrity-Preserving Attack Against LLM Watermarking
-
DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths
-
FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing
-
Teaching and Evaluating LLMs to Reason About Polymer Design Related Tasks
-
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
-
Compositional Consistency-Guided Decoding for Three-Way Logical Question Answering
-
BenGER Platform: A Collaborative Web Platform for End-to-End Benchmarking of German Legal Tasks
-
OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization Agents
-
Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction
-
SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
-
Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering
-
OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis
-
ReverseMath: Answer Inversion for Scalable and Verifiable Mathematical Problem Generation
-
Beyond Input Understanding: Diagnosing Multilingual Mathematical Reasoning with Directed Acyclic Trace Graphs
-
Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction
-
Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents
-
DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints
-
SilentRetrieval: Hijacking Retrieval-Augmented Generation via Semantically-Preserving Adversarial Data Poisoning
-
KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural Risks
-
Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
-
The Missing Piece in Pre-trained Model Evaluation: Reward-Guided Decoding Unlocks Task-Oriented Behavior Without Parameter Updates
-
Beyond pass@k: Redundancy-Aware RLVR for Multi-Sample Code Generation
-
IFMTBench: A Comprehensive Benchmark for Multilingual Translation Instruction Following
-
SaFeR-Steer: Evolving Multi-Turn MLLMs via Synthetic Bootstrapping and Feedback Dynamics
-
Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning
-
CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models
-
DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation
-
GONDOR to the Rescue: Satisficing Planning with Low Memory
-
Restoring the Sweet Spot: Pass-Rate Weighted Self-Distillation for LLM Reasoning
-
Unified Synthesis of Compositional Speech and Sound from Free-Form Text Prompts
-
IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
-
Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
-
Beyond Chunk-Local Extraction: Cross-Chunk Graph Augmentation for GraphRAG
-
Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure
-
D$^2$Turb: Depth-Aware Simulation and Decoupled Learning for Single-Frame Atmospheric Turbulence Mitigation
-
BioELX: Cross-lingual Biomedical Entity Linking via Alias-based Retrieval and LLM Ranking
-
Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills?
-
VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMs
-
Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
-
AIBuildAI-2: A Knowledge-Enhanced Agent for Automatically Building AI Models
-
Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP
-
CFDTwin: An open-source GUI and Python toolkit for POD-NN surrogate modeling of ANSYS Fluent simulations
-
Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
-
MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram Parsing
-
ZipRL: Adaptive Multi-Turn Context Compression with Hindsight Response Replay
-
MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generation
-
FundaPod: A Multi-Persona Agent Pod Platform with Knowledge Graph Memory for AI-Assisted Fundamental Investment Research
-
Show, Don't TELL: Explainable AI-Generated Text Detection
-
C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis Reasoning
-
A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
-
GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease
-
Learning to Translate from Soft to Hard LLM Prompts
-
ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing
-
LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation
-
EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection
-
ClinConsensus: A Physician-Calibrated Benchmark for Evaluating Clinical Rubric Coverage in Chinese Medical LLMs
-
FD-RAG: Federated Dual-System Retrieval-Augmented Generation
-
AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
-
Can Entry-Wise Clipping Give Spectral Control of Stochastic Gradients?
-
How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving
-
MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
-
DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
-
Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency
-
When PCOS Meets Eating Disorders: An Explainable AI Approach to Detecting the Hidden Triple Burden
-
DSSE: a drone swarm search environment
-
CogPortrait: Fine-Grained Eye-Region Control in Portrait Animation via Hierarchical Agent Planning
-
From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development
-
SYNAPSE: Neuro-Symbolic Visual Thought-to-Text Decoding via Topological Semantic Denoising
-
Bounded-Compute Multimodal Regression for Product-Rating Prediction
-
Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning
-
Sentence Curve Language Models
-
Many Dialects, Many Languages, One Cultural Lens: Evaluating Multilingual VLMs for Bengali Culture Understanding Across Historically Linked Languages and Regional Dialects
-
Text2Model: Modeling Copilots for Text-to-Model Translation
-
The General Theory of Localization Methods
-
VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild
-
BIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networks
-
MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation
-
ProvMind: Provenance-grounded reasoning for materials synthesis
-
PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
-
Rethinking Memory as Continuously Evolving Connectivity
-
Constructing Industrial-Scale Optimization Modeling Benchmark
-
Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
-
Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
-
Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data
-
LiveK12Bench: Have Large Multimodal Models Truly Conquered High School-level Examinations?
-
Helicase: Uncertainty-Guided Supply Chain Knowledge Graph Construction with Autonomous Multi-Agent LLMs
-
Edge AI Deployment Beyond Models: A BSP-Aware Systems Framework for Industrial Embedded Platforms
-
PitchBench: Measuring Pitch Hearing in Audio-Language Models
-
MemMorph: Tool Hijacking in LLM Agents via Memory Poisoning
-
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
-
VisualNeedle: Benchmarking Active Visual Search in Information-Dense Scenes
-
A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora
-
Periodic Topological Deep Learning for Polymer Design and Discovery
-
Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders
-
Internalizing Tool Knowledge in Small Language Models via QLoRA Fine-Tuning
-
ARBITER: Reasoning Trajectory Basins and Majority Vote Failures in Test-Time Sampling
-
InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization
-
Nonlinear and Heavy-Tailed Predictability in Transition-Energy Financial Markets
-
RAPNet: Accelerating Algebraic Multigrid with Learned Sparse Corrections
-
RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data
-
Furina: Fragmented Uncertainty-Driven Refusal Instability Attack
-
Generating realistic global precipitation fields from modelled atmospheric circulation
-
PinPoint: Prompting with Informative Interior Points
-
Reasoning, Code, or Both? How Large Language Models Handle Variations in Math Questions
-
Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems
-
UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems
-
A Hybrid Vision-Language Architecture for Automated Defect Reasoning and Report Generation in Industrial Inspection
-
ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
-
OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants
-
MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding
-
SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?
-
Pair-In, Pair-Out: Latent Multi-Token Prediction for Efficient LLMs
-
Rank-Turbulence Delta and Interpretable Approaches to Stylometric Delta Metrics
-
Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks
-
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
-
Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling
-
BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma
-
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
-
Explainable Cross-Disease Reasoning for Cardiovascular Risk Assessment from Low-Dose Computed Tomography
-
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
-
Causal Representation Learning for Generalisable Recommendation
-
VISTA: An End-to-End Benchmark for Visual Spec-to-Web-App Coding Agents
-
Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models
-
Once-For-All: A Train-Once and Select-Anytime Framework for Multimodal Instruction Tuning
-
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning
-
How Do Document Parsers Break? Auditing Structural Vulnerability in Document Intelligence
-
From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD
-
From Headlines to Holdings: Deep Learning for Smarter Portfolio Decisions
-
The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology
-
Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation
-
BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation
-
Temporal Simultaneity Predicts Annotation Quality in Sentiment Corpora
-
Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation
-
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging
-
LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
-
Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU
-
ReCA: Multi-Shot Long Video Extrapolation via Recursive Context Allocation
-
Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection
-
GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision
-
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study
-
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
-
ChainCaps: Composition-Safe Tool-Using Agents via Monotonic Capability Attenuation
-
FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling
-
MedCollab: IBIS-Guided Multi-Agent Collaboration with Hierarchical Disease Relation Chains for Clinical Diagnosis
-
Certified Purity for Cognitive Workflow Executors: From Static Analysis to Cryptographic Attestation
-
Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect
-
CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity
-
O-MARC: Omni Memory-Augmented Compression Distillation for Efficient Video Understanding
-
LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation
-
Learning When to Think While Listening in Large Audio-Language Models
-
SPEAR: Code-Augmented Agentic Prompt Optimization
-
SpatialBench: Is Your Spatial Foundation Model an All-Round Player?
-
Bounded Path Context: A Controlled Study of Visible Path History in LLM-Based Knowledge Graph Question Answering
-
MerLean-Prover: A Recursive Looping Harness for End-to-End Lean 4 Theorem Proving
-
Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
-
LDP-Slicing: Local Differential Privacy for Images via Randomized Bit-Plane Slicing
-
MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation
-
GraphReview: Scientific Paper Evaluation via LLM-Based Graph Message Passing
-
SIA: Self Improving AI with Harness & Weight Updates
-
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
-
Cross-Linguistic Transcription and Phonological Representation in the Hu\`it\'onggu\v{a}nx\`i Hu\'ay\'iy\`iy\v{u}
-
ICICLE: Expanding Retrieval with In-Context Documents
-
SCENT: Aligning Mass Spectra with Molecular Structure for Olfactory Perception
-
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
-
Shedding Light on Dark Matter at the LHC with Machine Learning
-
TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
-
Mechanized Foundations of Structural Governance: Machine-Checked Proofs for Governed Intelligence
-
DGLD: Domain-Gated Latent Diffusion for the Discovery of Novel Energetic Materials
-
DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction
-
METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognition
-
The Two Boundaries: Why Behavioral AI Governance Fails Structurally
-
From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents
-
The Age of Curiosity Meets the Age of AI: Benchmarking Child Safety in Large Language Models
-
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning
-
HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol
-
EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation
-
MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models
-
AERIC: Anticipatory Hidden-State Monitoring for Implicit Harmful Dialogue
-
Architecture-Aware Explanation Auditing for Industrial Visual Inspection
-
Measuring Epistemic Humility in Multimodal Large Language Models
-
Lighting in Motion: Spatiotemporal HDR Lighting Estimation
-
TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation
-
DeCoDrift: Stabilizing Decoder Coupling in Closed-Loop Foundation Segmentation
-
PixelWizard: Towards Efficient High-Fidelity Video Generation at Ultra-Large Spatial Resolution
-
Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution
-
SpongeBob: Sync-Aware Harmonious Audio-Visual Generative Editing
-
StreamOV: Streaming Omni-Video Understanding via Evidence-Guided Memory and Response Triggering
-
MindAdapter: Few-Shot Parameter-Efficient Residual Calibration of Cross-Subject Brain-to-Visual Decoding Models
-
ImPartial: Multi-channel Whole-Cell Segmentation using Partial Annotations
-
EditCaption: Human-Refined SFT and HAE-DPO for Image Editing Instruction Synthesis
-
PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching
-
UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents
-
Continual Speaker Identity Unlearning with Minimal Interference
-
Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation
-
Fine-Tuning Over Architectural Complexity: Broad-Coverage PII Detection on PIIBench with DeBERTa
-
OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation
-
SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
-
STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming Media
-
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
-
TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs
-
When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents
-
Harnessing AtomisticSkills for Agentic Atomistic Research
-
HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models
-
HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
-
MEMOR-E: In-Context and Fine-Tuned LLM Personalization for Alzheimer's Assistive Robotics
-
ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models
-
MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules
-
GRAIL: AI translation for scientists application workflow on satellite data
-
BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training
-
STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy
-
Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation
-
MathOptAI.jl: Embed trained machine learning predictors into JuMP models
-
AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization
-
Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
-
When Search Becomes Memory: Turning Robot Design Trials into Transferable Skills
-
MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images
-
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization
-
DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
-
FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models
-
StakeBench: Evaluating Language Understanding Grounded in Market Commitment
-
Hide-and-Shill: A Reinforcement Learning Framework for Market Manipulation Detection in Symphony-a Decentralized Multi-Agent System
-
Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations
-
Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts
-
Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
-
WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation
-
Loki: Representation over Architecture for Diffusion-Based Portrait Animation
-
ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging
-
WorldCraft: From Camera Navigation to Object Manipulation in Interactive Video World Models
-
MARVEL: Universal Murray's Law-informed Vessel Tree Segmentation and Topology Estimation
-
MIND: Multi-Scale Intent Diffusion for Text-Driven Physics-Based Humanoid Control
-
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
-
Opportunistic Target Selection: Early Directional Commitment for Query-Efficient Black-Box Adversarial Attacks
-
Inspiration Seeds: Learning Non-Literal Visual Combinations for Generative Exploration
-
Two-Pass Zero-Shot Temporal-Spatial Grounding of Rare Traffic Events in Surveillance Video
-
Grounding-Driven Attack: Improving Encoder-based Adversarial Transferability against Large Vision-Language Models
-
Phonetic Modeling of Dialectal Variation in Vietnamese Speech
-
Testing the Deliteralization Hypothesis in Human and Machine Translation
-
ECHO: Terminal Agents Learn World Models for Free
-
Do Image-Text Metrics Respect Semantic Invariances?
-
Axis-Aligned Semantics for ODRL: Resolving Dimensional Ambiguity in Policy Constraints
-
PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets
-
FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations
-
Why We Need World Models for AGI: Where LLMs Fail and How World Models May Outperform
-
Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows
-
DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations
-
PALoRA: Projection-Adaptive LoRA for Preserving Reasoning in Large Language Models
-
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework
-
Hylos: Operability Contracts for Model-Native Spatial Intelligence
-
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
-
CODESKILL: Learning Self-Evolving Skills for Coding Agents
-
What Gets Cited: Competitive GEO in AI Answer Engines
-
Insuring Every Action: An Authority Frontier Framework for Runtime Actuarial Control of Autonomous AI Agents
-
LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation
-
From Model Scaling to System Scaling: Scaling the Harness in Agentic AI
-
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research
-
VineLM: Trie-Based Fine-Grained Control for Agentic Workflows
-
High-Risk AI Systems and the Problem of Identity in the European AI Act
-
KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing
-
AI-Driven Controlled Environment Agriculture as Resilient Infrastructure for U.S. Fresh-Produce Supply Chains
-
A World Model of Radiologist Reading for Medical Image Representation Learning
-
WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATAC-seq Peaks
-
Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling
-
Feature Lottery? A Bifurcation Theory of Concept Emergence
-
The Time is Here for Just-in-Time Systems: Challenges and Opportunities
-
PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection
-
Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
-
AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
-
Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning
-
An Interactive Paradigm for Deep Research
-
VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation
-
Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions
-
FoodMonitor: Benchmarking MLLMs for Explainable Compliance Analysis
-
{\Phi}-Noise: Training-Free Temporal Video Conditioning via Phase-Based Noise Manipulation
-
Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Reflection
-
D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation
-
Continuous-Depth Field Theory for Transformer Patching and Mechanistic Interpretability
-
AI-Associated Lexical Shifts Across 34 Languages: Cross-Lingual Convergence and Diachronic Uptake in News Writing
-
Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS
-
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
-
SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation
-
A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring
-
Language-Switching Triggers Take a Latent Detour Through Language Models
-
BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting
-
SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models
-
MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization
-
A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis
-
AnE: Pushing the Reasoning Frontier of Multimodal LLMs via Anchor Evolution
-
SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation
-
Unified 3D Scene Understanding Through Physical World Modeling
-
Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification
-
Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects
-
TempRet: Temporal Enhancement and Two-Stage Reranking for CVPR 2026 EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge
-
Dual-Pathway Geometry-Aware MLLM for Spatial Intelligence
-
Inference-Time Backdoors via Chat Templates: From LLM Supply Chains to Agentic System Compromise
-
Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring
-
Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
-
Merge-Bench: Resolve Merge Conflicts with Large Language Models
-
Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information
-
Aurora Hunter: A Two-Stage Framework for Probabilistic Visibility Forecasting
-
EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture
-
Incorporating Deep Learning Design in Database Queries
-
CALIBURN: A Regime-Sensitivity Study of Operationally Calibrated Streaming Intrusion Detection
-
CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering
-
A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning
-
ConceptM$^3$oE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology
-
AGI Requires a Coordination Layer on Top of Pattern Repositories
-
MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI
-
NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models
-
SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows?
-
Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference
-
CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification
-
Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs
-
QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks
-
TIE: Time Interval Encoding for Video Generation over Events
-
Multi-Persona Debate System for Automated Scientific Hypothesis Generation
-
StreamProfileBench: A Benchmark for Fine-Grained User Profile Inference in Real-World Streaming Scenarios
-
Toxicity in Twitch Chats: An LLM-Based Analysis Across Gaming Communities
-
DRInQ: Evaluating Conversational Implicature with Controlled Context Variation
-
ContextEcho: A Benchmark for Persona Drift in Long Agentic-Coding Sessions
-
End-to-End Intracortical Speech Decoding from Neural Activity
-
Decompose-and-Refine: Structured Legal Question Answering with Parametric Retrieval
-
Generating Legal Commentaries from Case Databases via Retrieval, Clustering, and Generation
-
HiMed: Incentivizing Hindi Reasoning in Medical LLMs
-
SEAL: Synergistic Co-Evolution of Agents and Learning Environments
-
GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation
-
Beyond Literal Translation: Evaluating Cultural Effectiveness in Social Media UGC
-
PowLU: An Activation Function for Stable Pre-Training of LLMs
-
Double Triangle Annotation: A Scalable Human-in-the-Loop Framework for High-Precision Historical Document Annotation
-
Does Continued Pretraining on a Learner Corpus Improve Automated Essay Scoring on English Proficiency Tests? Evidence from EFCAMDAT
-
GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning
-
PolyGnosis 2.0: Enhancing LLM Reasoning via Agentic Harness Engineering for Polymarket and OSINT Insight Extraction
-
The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
-
What Makes a Medical Checker Trainable? Diagnosing Signal Collapse and Reward Hacking in Checker-Guided RAG for Biomedical QA
-
From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language Model Weak Supervision Across Three Medical-Imaging Benchmarks
-
Towards a Universal Causal Reasoner
-
First, do no harm: Breaking suicidogenic echo chambers in media recommendation
-
ViroBench: Benchmarking Nucleotide Foundation Models on Viral Genomics Tasks
-
Efficient Imputation for Patch-based Missing Single-cell Data via Cluster-regularized Optimal Transport
-
RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges
-
Specification-Based Code-Text-Code Reengineering for LLM-Mediated Software Evolution
-
VEN-VL: A Visual Ensemble MoE Framework for Effective and Efficient Multi-Modal Understanding
-
Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks
-
EFSI-DETR: Efficient Frequency-Semantic Integration for Real-Time Small Object Detection in UAV Imagery
-
Code2UML: Agentic LLMs with context engineering for scalable software visualization
-
It's Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language Models
-
Pantheon360: Taming Digital Twin Generation via 3D-Aware 360{\deg} Video Diffusion
-
WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation
-
Querying structural and functional niches on spatial transcriptomics data
-
Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer Review
-
M2H-MX: Multi-Task Semantic and Geometric Perception for Real-Time Monocular 3D Scene Graph Construction
-
LAPLEX: The FFT of Learnable Laplace Kernels
-
Synheart Capacity: A Theory-Driven Physiological Representation of Cognitive Capacity Dynamics from Wearable Signals
-
DRFusion: Drift-Resilient Temporally Consistent Infrared-Visible Video Fusion
-
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
-
Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning
-
Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content
-
Mimir: Large-scale Multilingual Concept Modeling
-
ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop
-
EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions
-
sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing
-
AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond
-
Understanding the Impact of Geometric Foundation Models on Vision-Language-Action Models
-
Flow Matching for Probabilistic Monocular 3D Human Pose Estimation
-
DA-UCT: Self-Supervised Domain-Adaptive Ultrasound Computed Tomography for Rapid Musculoskeletal Sound Speed Reconstruction
-
Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
-
TriDP-PTM: a three-stage distortion-perception tradeoff guides the pre-training model for radar cardiac sensing
-
VertiCue-Bench: Diagnosing Whether MLLMs Use Height Cues to Resolve 2D Ambiguity in Remote Sensing Natural Scenes
-
AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets
-
LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
-
When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers
-
Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing
-
Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
-
MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security
-
Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence
-
Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation
-
LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence
-
Pixel-Level Pavement Distress Assessment Using Instance Segmentation
-
TriSplat: Simulation-Ready Feed-Forward 3D Scene Reconstruction
-
LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy
-
Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents
-
Evolving Causal Regulatory Networks (ECR-Net)
-
[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation
-
StreamChar: Long-Horizon Streaming Character Audio-Video Generation with Decoupled Orchestration
-
AI-T2I: Aggregating-and-Isolating Cross-Attention to Diffusion Models for Text-to-Image Synthesis
-
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
-
CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
-
TopoAlign: Topology-Aware Visual Representation Alignment
-
Lake Detection and Water Quality Estimation in Sentinel-2 Data
-
CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities
-
When Can We Trust Early Warnings? Leakage-Excluded Early Outcome Prediction from LMS Interaction Logs
-
AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions
-
Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning
-
Identifying and Mitigating Systemic Measurement Bias in Production LLM Inference Benchmarks
-
ProSR: Process-Shaped Spatial Reasoning for Reliable Chain-of-Thought in VLMs
-
ComPose: A Unified Completion-Pose Framework for Robust Category-Level Object Pose Estimation
-
FLINGO -- Instilling ASP Expressiveness into Linear Integer Constraints
-
CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting
-
Test-Time Deep Thinking to Explore Implicit Rules
-
SimuWoB: Simulating Real-World Mobile Apps for Fast and Faithful GUI Agent Benchmarking
-
DarkForest: Less Talk, Higher Accuracy for Multi-Agent LLMs
-
AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems
-
QUIVER: A Formal Framework for Quantifying Perturbation Propagation and Bifurcation in Compound AI Systems
-
Machine Psychometrics: A Mathematical Psychology of Artificial Intelligence
-
StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs
-
Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations
-
EMA-Nesterov: Stabilizing Nesterov's Lookahead for Accelerated Deep Learning Optimization
-
Explore Before You Solve: The Speed--Depth Trade-off in Epistemic Agents for ARC-AGI-3
-
Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World
-
FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
-
IVR-R1: Refining Trajectories through Iterative Visual-Grounded Reasoning in Reinforcement Learning
-
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs
-
ArtSplat: Feed-Forward Articulated 3D Gaussian Splatting from Sparse Multi-State Uncalibrated Views
-
ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale
-
Security of OpenClaw Agents: Fundamentals, Attacks, and Countermeasures
-
Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks
-
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
-
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
-
EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion
-
EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound
-
Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems
-
Rethinking the Comparison Unit in Sequence-Level Reinforcement Learning: An Equal-Length Paired Training Framework from Loss Correction to Sample Construction
-
LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design
-
Representation Without Control: Testing the Realization Effect in Language Models
-
DexSIM: Real-time Dexterous Simulation with Unified Causal Video Diffusion
-
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework
-
CArtBench: Evaluating Vision-Language Models on Chinese Art Understanding, Interpretation, and Authenticity
-
Vision-Language Binding in In-Context Image Generation
-
EMMA: Extracting Multiple physical parameters from Multimodal Data
-
4KLSDB: A Large-Scale Dataset for 4K Image Restoration and Generation
-
DUEL: Adversarial Self-Play for Multimodal Reasoning
-
X-Foresight: A Joint Vision-Action Causal Forecasting Network via Predictive World Modeling
-
MambaDSF: Multi-Scale SSM with Dilated Feature Fusion for Sonar Small Target Detection
-
Universal Boosts, Specific Suppressors: Sparse Autoencoder Steering of Medical Vision-Language Models
-
ClueAegis: Heuristic-to-Reasoning Cognitive-skill Learning for Unified Evidence-based Synthetic Image Detection
-
Interpretability Transfer from Language to Vision via Sparse Autoencoders
-
Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect
-
SpecAlign: A Semantic Alignment Framework for SystemVerilog Assertion Generation
-
The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale
-
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA
-
DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
-
S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning
-
From Simulation to Discovery: AI Enabled Probabilistic Emulation of Mechanistic Crop Systems
-
LLM-driven design of physics-constrained constitutive models: two agents are better than one
-
Convex Optimization for Alignment and Preference Learning on a Single GPU
-
FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence
-
GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs
-
Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems
-
SLIP-RS: Structured-Attribute Language-Image Pre-Training for Remote Sensing Object Detection
-
Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks
-
Orbax: Distributed Checkpointing with JAX
-
MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence
-
ExpOS: Explainable Open-Surgery Skills Assessment Using 3D Hand Reconstruction
-
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic Video Generation
-
Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
-
Every Component is a Lookup: Token Attribution and Composition from a Single Decomposition
-
CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces
-
MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
-
Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure
-
Skill Retrieval Augmentation for Agentic AI
-
VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding
-
Scene Reconstruction as Mapping Priors for 3D Detection
-
General Hazard Detection
-
ComPose: When to Trust Hands for Object Pose Tracking
-
Geo-Align: Video Generation Alignment via Metric Geometry Reward
-
GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences
-
Sample-wise Targeted Adversarial Attacks on Test-time Adaptation
-
VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation
-
HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs
-
When AI Takes Sides on Questions of Faith: Persistent Asymmetries in AI-Mediated Faith Guidance
-
EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization
-
A graph-based analysis of semantic types and coercion in contextualized word embeddings
-
Pointwise Metrics Mislead: An Evaluation Protocol for Multimodal Inverse Problems
-
From Residuals to Reasons: LLM-Guided Mechanism Inference from Tabular Data
-
Less Effort, Shorter Proofs: Reinforcement Learning for Security Protocol Analysis in Tamarin
-
DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
-
A Reproducible Universal Dependencies-Style Pipeline for Katharevousa Greek Parliamentary Text
-
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion
-
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
-
A measurement substrate for agentic Kubernetes operations: Methodology and a case study in retrieval-compounding falsification
-
The TIME Machine: On The Power of Motion for Efficient Perception
-
ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse
-
LFRAG: Layout-oriented Fine-grained Retrieval-Augmented Generation on Multimodal Document Understanding
-
CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image Perception
-
SCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models
-
Can the Recovery Mechanism Survive AI? Skill Formation, Labor, and What Current Measurement Misses
-
U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025
-
DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation
-
GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes
-
Calibration-Informative Region Selection for Online LiDAR--Camera Calibration in Agricultural Environments
-
AI-Friendly LaTeX: Using LaTeX Code as a Knowledge Source for Retrieval-Augmented Generation
-
CultivAgents: Cultivating Relationship-Centered Multi-Agent Systems for Personalized Gardening
-
FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models
-
When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening
-
Metadata Predictability Is Not Evidence Dependence: An Intervention-Based Audit for Weak-Label Benchmarks
-
ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models
-
Robust LLM Watermarking with Minimal Semantic Distortion for IP Protection
-
WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild
-
AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse
-
MuellerPT: Decomposition Driven Pretraining for Dense Learning in Mueller Polarimetry
-
RMA: an Agentic System for Research-Level Mathematical Problems
-
ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization
-
Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents
-
FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data
-
PACE: Two-Timescale Self-Evolution for Small Language Model Agents
-
GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation
-
FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning
-
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
-
DART: Semantic Recoverability for Structured Tool Agents
-
HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction
-
Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering
-
RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering
-
IntentionNav: A Benchmark for Intent-Driven Object Navigation from Implicit Human Instruction
-
PoisonForge: Task-Level Targeted Poisoning Benchmark for Instruction-Tuned LLMs
-
Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception
-
SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
-
SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
-
SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
-
KPI2KVI: A Multi Agent Workflow for Calculating Key Value Indicators from Service Descriptions
-
The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models
-
Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models
-
Content-Aware Attack Detection in LLM Agent Tool-Call Traffic: An Empirical Study of Features, Architectures, and Evaluation Protocols
-
Goal-Conditioned Agents that Learn Everything All at Once
-
A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism
-
Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
-
LangFlash: Feed-forward 3D Language Gaussian Splatting from Sparse Unposed Images
-
PhotoFlow: Agentic 3D Virtual Photography Missions
-
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain
-
Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation
-
Improved Vision-to-Chart Buoy Association with Learned World-to-Image Projection
-
Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment
-
DepthAgent: Towards Better Universal Depth Estimation via Sample-wise Expert Selection
-
VAMP-Diff: VampPrior Latent Diffusion for Photoplethysmography Modeling
-
FAST-ME: Foundation-aware Adaptive Stopping for Motion Estimation for Efficient IoT Video Analysis
-
Smart-Insertion-V: Photorealistic Video Insertion via a Closed-Loop Feedback Dual-Stream Framework
-
Extending Deep Event Visual Odometry with Sparse Point-Cloud Export
-
Agentivism: a learning theory for the age of artificial intelligence
-
ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication
-
MedExpMem: Adapting Experience Memory for Differential Diagnosis
-
SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection
-
Neuron Incidence Redistribution for Fairness in Medical Image Classification
-
Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos
-
What Makes Synthetic Data Effective in Image Segmentation
-
PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
-
Feed-Forward Gaussian Splatting from Sparse Aerial Views
-
Closed-Loop Hybrid Digital Twin Platform for Connected and Automated Vehicle Validation
-
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
-
Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
-
Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates
-
Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries
-
InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement
-
HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding
-
WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
-
LaCoVL-FER: Landmark-Guided Contrastive Learning Network with Vision-Language Enhancement for Facial Expression Recognition
-
Are Watermarked Images Editable? SafeMark for Watermark-Preserving Text-Guided Image Editing
-
Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion Models
-
Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments
-
CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs
-
MetaEarth-MM: Unified Multimodal Remote Sensing Image Generation with Scene-centered Joint Modeling
-
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
-
iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models
-
Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search
-
Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
-
GRAB: A Risk Taxonomy--Grounded Benchmark for Unsupervised Topic Discovery in Financial Disclosures
-
MSAlign: Aligning Molecule and Mass Spectra Foundation Models for Metabolite Identification
-
SpecX: A Large-Scale Benchmark for Multi-Modal Spectroscopy and Cross-Paradigm Evaluation
-
Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
-
Qwen-Image-VAE-2.0 Technical Report
-
Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs
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LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
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Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes
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UserGPT Technical Report
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Efficient Hybrid CNN-GNN Architecture for Monocular Depth Estimation
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Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback
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Beyond "I cannot fulfill this request": Alleviating Rigid Rejection in LLMs via Label Enhancement
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RealCam: Real-Time Novel-View Video Generation with Interactive Camera Control
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ReasonSTL: Bridging Natural Language and Signal Temporal Logic via Tool-Augmented Process-Rewarded Learning
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ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation
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Demystifying Manifold Constraints in LLM Pre-training
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Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation
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CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making
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GameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment
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Compute Optimal Tokenization
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Learning from Compressed CT: Feature Attention Style Transfer and Structured Factorized Projections for Resource-Efficient Medical Image Analysis
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BanglaSocialBench: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction
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ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
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ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
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ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"
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Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking
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Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails
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From Images2Mesh: A 3D Surface Reconstruction Pipeline for Non-Cooperative Space Objects
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RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
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Can Coding Agents Reproduce Findings in Computational Materials Science?
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AgentFloor: How Far Up the tool use Ladder Can Small Open-Weight Models Go?
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ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding, but at What Cost?
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Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations
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MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents
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ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models
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SC-Taxo: Hierarchical Taxonomy Generation under Semantic Consistency Constraints using Large Language Models
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Foundation AI Models for Aerosol Optical Depth Estimation from PACE Satellite Data
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Scaling Video Understanding via Compact Latent Multi-Agent Collaboration
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LIMSSR: LLM-Driven Sequence-to-Score Reasoning under Training-Time Incomplete Multimodal Observations
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SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding
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Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment
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LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human-LLM Judgment Gaps
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Language Models Struggle to Use Representations Learned In-Context
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Short Chains, Deep Thoughts: Balancing Reasoning Efficiency and Intra-Segment Capability via Split-Merge Optimization
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InterChart: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information
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Bring Your Own Prompts: Use-Case-Specific Bias and Fairness Evaluation for LLMs
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EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement
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FollowTable: A Benchmark for Instruction-Following Table Retrieval
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ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
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NorBERTo: A ModernBERT Model Trained for Portuguese with 331 Billion Tokens Corpus
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How Frontier LLMs Adapt to Neurodivergence Context: A Measurement Framework for Surface vs. Structural Change in System-Prompted Responses
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ViLegalNLI: Natural Language Inference for Vietnamese Legal Texts
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Lost in State Space: Probing Frozen Mamba Representations
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Agentic AI for Substance Use Education: Integrating Regulatory and Scientific Knowledge Sources
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Borrowed Geometry: Computational Reuse of Frozen Text-Pretrained Transformer Weights Across Modalities