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ScienceCast
721 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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InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs
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Ego-Human Motion Prediction with 3D-Aware LLM
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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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Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
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HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation
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SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
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Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems
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HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models
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tsbootstrap: Distribution-Free Uncertainty Quantification and Conformal Prediction for Time Series
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A Multi-Analyst LLM Pipeline for Auditable Rule Discovery Across 68 Public Physiological Corpora
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Health System Scale Semantic Search Across Unstructured Clinical Notes
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From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents
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A Good Initialization is All You Need for Faithful Visual Attribution
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STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting
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SPEAR: A Simulator for Photorealistic Embodied AI Research
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Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild
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Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
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PALS: Percentile-Aware Layerwise Sparsity for LLM Pruning
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Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data
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PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation
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UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
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x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability
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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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Why does Deep Learning Improve Visual SLAM?
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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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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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DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation
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ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modelin
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PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents
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CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration
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Parameter-Free Encoders Remain Viable for RDB Foundation Models
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Controlling Tool Use with Heading-Specific Activation Steering
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Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development
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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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Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis
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Base Models Know How to Reason, Thinking Models Learn When
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PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
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Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs
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RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications
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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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Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
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rePIRL: Learn PRM with Inverse RL for LLM Reasoning
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ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution
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Convergence Analysis of the ProbAbilistic Gradient Estimator Algorithm for Weakly Convex Finite-Sum Optimization
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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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CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning
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STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition
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MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs
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Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild
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PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
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A non-invasive video-based method for individual identification of wildlife using gait dynamics
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EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots
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IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation
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Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
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Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
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GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation
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ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes
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Evaluating and Understanding Model Editing for Medical Vision Language Models
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Not Every Sync Is Safe: Calibrated DiLoCo Scheduling for Shared AI Infrastructure
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From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control
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FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection
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They Infer What You Meant: Models Represent Communicative Intent More Reliably Than They Act On It
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Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG
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Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
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msPCA: An R Package for Sparse PCA with Multiple Components
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How Much is Left? LLMs Linearly Encode Their Remaining Output Length
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QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting
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GRAFT: Grafted Reference Audio for Fine-grained Pronunciation in Zero-shot Text-to-Speech
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Spectral Rewiring for Exploration, Purification, and Model Merging
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Reduced-Order Models: The Mother of World Models
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PhenoNEST: A Neuro-Symbolic Framework for Ontology-Aware Multimodal Plant Phenotyping and Trait Discovery
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WeightCLIP: Aligning Datasets and Models for Weight Space Learning
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Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning
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Dictionaries, Not Darwin: Set-Level Selection Beats LLM Evolution in Scientific Equation Discovery
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Parametric Memory Decoding for Zero-Shot Routing in LoRA-Based External Parametric Memory
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NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation
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Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformers
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DELTA-TTS: Adapting Autoregressive Model into Diffusion Language Model for Text-to-Speech
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CONTRA: Red-Teaming Configurations of Personalizable Agents
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RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain
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Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity
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RayTun3R: Online Camera Adaptation in 3D Foundation Models
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RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation
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kAgent: An execution-guided crash resolution agent for the Linux kernel
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FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents
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OmniDS: Dual-Stream Context Fusion for Omnidirectional Depth from Fisheye Cameras
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When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games
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Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems
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The Classics at SemEval-2026 Task 3: Combining Transformer Models and LLM-Generated Annotations for Dimensional Aspect-Based Sentiment Analysis
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Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
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Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter
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QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
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WPG-MoE: Weak-Prior-Guided Dense Mixture-of-Experts for User-Level Social Media Depression Detection
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FormalRx: Rectify and eXamine Semantic Failures in Autoformalization
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You Frame It: How Conceptual Representations Shape LLM Detection and Reasoning about Antisemitism
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HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control
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CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces
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VERITAS: Towards a General-Purpose Replication Tool for Scientific Research
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Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters
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Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive Routing
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Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning
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Silicon Sampling via Cross-Survey Transfer
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Incentivizing Vision Language Models to Search for Long Video Question Answering
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MTEB-PT: A Text Embedding Benchmark for Brazilian Portuguese
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Language Models Represent and Transform Concepts with Shared Geometry
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BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
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FairFlow: Demystifying and Mitigating Stereotype Bias in Text-to-Image Diffusion Transformers
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ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
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DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot Manipulation
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Progressive Disclosure for LLM-Maintained Wiki Knowledge Bases: a Preregistered Ablation
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ReCal3R: Reliability-Calibrated Learning Rates for Streaming 3D Reconstruction
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SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
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DynaWM: A Base-VLA-Guided World Foundation Model for Moving-Object Manipulation
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GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video
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Risk-Constrained Freshness-Aware Semantic Caching for Open-Web Retrieval-Augmented LLMs
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The Remarkable Effectiveness of Providing AI Agents with Natural Language Tools: A Replication Study Validating NLT Performance Across 14 Models
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Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs
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Don't Make Models Guess Security and Safety: Symbolic Guardrails for Domain-Specific AI Agents
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Legible-by-Construction: Attention and End-to-End Transformers
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Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models
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Do ECG Foundation Models Transfer to Rare Cardiac Diseases? Evidence from Brugada Syndrome Detection
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MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution
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Evaluating Agentic Harness Systems for Autonomous Computational Pathology
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Conversational Human Audio-visual Talking Dialogue Generation
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VISTA: Auditing Semantic Divergence in Vision-Language Models
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OmniLayout: A Schematic-Coupled Multimodal Benchmark for Constraint-Aware Geometric Reasoning in PCB Layout
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NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding
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Multi-Resolution Flow Matching: Training-Free Diffusion Acceleration via Staged Sampling
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Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling
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UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development
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ADVENT: LLM-Driven Automatic Predicate Invention for ILP
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Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph
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On the Limits of Steering Vectors for Preference-Aligned Generation
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Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
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LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design
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WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs
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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection
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Towards Interactive Global Geolocation Assistant
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Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models
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kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail
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EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning
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Single-Channel EEG-Based Cognitive Load Assessment in Online Learning: A Hybrid Deep Learning Approach
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Object Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization
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From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Physics
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Know Your Source: A Public Knowledge Store for Media Background Checks
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Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
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DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation
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DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing
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CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse
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OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration
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Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model
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Autonomous discovery of traffic laws with AI traffic scientists
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Atomic Task Graph: A Unified Framework for Agentic Planning and Execution
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Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
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ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
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Do Newer Lightweight CNNs Perform Better Under Resource Constraints? A Controlled Multigenerational Study of Architecture, Initialization, Training Budget, and Efficiency
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Scaling Trends for Lie Detector Oversight in Preference Learning
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DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM
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Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
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Towards Metric-Agnostic Trajectory Forecasting
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PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking
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"Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo
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Safe Alone, Unsafe Together: Safeguarding Against Implicit Toxicity When Benign Images Combine
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Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling
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PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
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When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models
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LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language Models
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SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments
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YOMI-Bench: A Benchmark for Evaluating Kanji Reading and Phonological Understanding of LLMs for Japanese
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Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates
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NoPA: Non-Parametric Online 3D Scene Graph Generation
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GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data Engine
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Semantic-Guided Reading Order Reconstruction in Historical Armenian Newspapers with LLMs
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EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation
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Multi-scale Mixture of World Models for Embodied Agents in Evolving Environments
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Agentic generation of verifiable rules for deterministic, self-expanding reaction classification
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SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework
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Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval
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Diffusion-GR2: Diffusion Generative Reasoning Re-ranker
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OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale
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Beyond Activation Alignment:The Alignment-Diversity Tradeoff in Task-Aware LLM Quantization
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Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation
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Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation
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Persona Without Substrate: Regime-Dependence and the LLM Individuation Problem
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SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification
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LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning
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Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
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FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data
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AGC-Bench: Measuring Artificial General Creativity
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Concept Alignment Contrast and Long-Short Prompt Memory for Test-Time Adaptation of SAM3 in Medical Image Segmentation
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Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
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From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Grasping
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Large language models replicate and predict human cooperation across experiments in game theory
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Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings
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LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment
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GR2 Technical Report
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Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian
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SwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation
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Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation
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Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions
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ALM2Vec: Learning Audio Embeddings for Universal Audio Retrieval with Large Audio-Language Models
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FARS: A Fully Automated Research System Deployed at Scale
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HistoriQA-ThirdRepublic: Multi-Hop Question Answering Corpus for Historical Research, Parliamentary Debates from the French Third Republic (1870-1940)
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WIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation
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Fork-Think with Confidence
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CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning
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Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas?
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Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
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AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance
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MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning
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ClawArena-Team: Benchmarking Subagent Orchestration and Dynamic Workflows in Language-Model Agents
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Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
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Horseshoe Priors for Spatial Small Area Estimation: Regular Variation, Tail Robustness, and Deep Learning
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Can Tabular In-Context Learners Generalize to Biomolecular Property Prediction?
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Fora: From Weight-Space to Function-Space Protection in Capability-Preserving Fine-Tuning
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A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control
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An Empirical Study of Security Calibration in Large Language Models for Code
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Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
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CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift
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MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment
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The Contagion Tensor: A Framework for Measuring Output-Distribution Coupling in Multi-Agent LLM Systems -- and Auditing the Claims It Enables
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CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
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Multimodal Mathematical Reasoning with Diverse Solving Perspective
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Attractor States Emerge in Multi-Turn LLM Conversations
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You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
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Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation
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GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots
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A Diagnostic Framework and Multi-Evaluator Audit of Evaluator-Driven Preference Dynamics in Self-Adapting LLM Agents
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PolicyGuard: A Dialogue-Grounded Sub-Agent Verifier for Policy Adherence in LLM Agents
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DataComp-VLM: Improved Open Datasets for Vision-Language Models
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Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
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Reliability-Prioritized Fine-Grained Generation in Multimodal Large
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Momentum Guidance: Plug-and-Play Guidance for Flow Models
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HEARTS: Benchmarking LLM Reasoning on Health Time Series
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LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents
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Cognitive World Models for Process-Level Social Influence Evaluation
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The strength of clinical evidence is recoverable from language model representations but not from their stated grades
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TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs
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Can LLMs Hire Fairly? Racial Bias in Resume Screening
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StrucTab: A Structured Optimization Framework for Table Parsing
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SICAGE: Speaker-Independent Culture-Aware Gesture Generation using TED4C-L Dataset
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Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
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Blackknife: Hard-Label Query-Limited Black-Box Attacks on Heterogeneous Graph Neural Networks
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CAREBench: A Child-Safety Risk Benchmark for Language Models
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Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns
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DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model
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Beyond IID: How General Are Tabular Foundation Models, Really?
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AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills
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RIPA: Sensory-Vector Prompt Injection Attacks on LLM-Controlled ROS 2 Robots
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Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation
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SemJoin: Semantic Join Optimization
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APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms
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Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation
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How much of an LLM-generated clinical corpus is actually new? A production-scale measurement of content redundancy for provenance classification
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Mandol: An Agglomerative Agent Memory System for Long-Term Conversations
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Self-Evolving World Models for LLM Agent Planning
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GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
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Towards Evaluating Data Priors for Tabular Foundation Models
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Cross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance
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Legal Domain Adaptation of Modern BERT Models
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FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images
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A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis
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Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution
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An AI agent for treatment reasoning over a biomedical tool universe
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Agentic Abstention: Do Agents Know When to Stop Instead of Act?
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SFBench: The SciFy Scientific Feasibility Benchmark
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MirrorCode: AI can rebuild entire programs from behavior alone
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Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents
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Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop
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A Machine-Verified Proof of a Quantum-Optimization Conjecture
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Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics
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How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation
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Low-cost concept-based localized explanations: How far can we get with training-free approaches?
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SABER-Math: Automated Benchmark for Information Retrieval Evaluation in Mathematics
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FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization
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Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B
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Fuzzing Large Language Models to Elicit Hidden Behaviours
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One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
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RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning
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SCARCE: Scalable Cascade Analysis for Rare-event Characterisation via Embeddings
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Latent Bridges for Multi-Table Question Answering
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HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression
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PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning
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Online Data Selection for Instruction Tuning via Gaussian Processes
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Diffusion Fine-tuning with Rewarded Moment Matching Distillation
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TraceLab: Characterizing Coding Agent Workloads for LLM Serving
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FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks
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Democratic ICAI: Debating Our Way to Steering Principles from Preferences
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Quantum Generative Diffusion Model for Real-World Time Series
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RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning
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CSD: Content-aware Speculative Decoding for Efficient Image Generation
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Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment
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A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
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Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents
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Cross-Platform Chinese Offensive Comment Detection via Dual-Threshold Hard Example Mining
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VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring
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Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
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Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
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Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
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VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models
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CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations
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The Context-Ready Transformer
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From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models
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Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting
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When Role-playing, Do Models Believe What They Say?
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Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork
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Where Larger Models Excel: The Primacy of Constraint-Guided Reasoning
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DualEval: Joint Model-Item Calibration for Unified LLM Evaluation
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ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery
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Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training
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Rotary Position Encodings for Graphs
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Investigating LLM's Problem Solving Capability -- a Study on Statics Questions
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Charting the Growth of Social-Physical HRI (spHRI): A Systematic Review Pipeline Augmented by Small Language Models
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LAMP: Lane-Aligned Motion Primitives for Feasible Trajectory Prediction
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Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization
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Robust Onion: Peeling Open Vocab Object Detectors Under Noise
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SamaVaani: Auditing and Debiasing Multilingual Clinical ASR for Indian Languages
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ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models
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What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations
-
TraMP-LLaMA: Generative Interpretability with Decoupled Instruction Tuning for Facial Expression Quality Assessment
-
OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents
-
The Capability Frontier: Benchmarks Miss 82% of Model Performance
-
Know2Guess: A Contamination-Aware Multi-Zone Benchmark for Knowledge-Boundary Evaluation in Large Language Models
-
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
-
TEMPO-Diffusion: Temporally Exposed Malicious Poisoning of Diffusion Models
-
TaskNPoint: How to Teach Your Humanoid to Hit a Backhand in Minutes
-
Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
-
Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data
-
RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations
-
Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets
-
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding
-
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
-
EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression
-
MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources
-
Distill on a Diet: Efficient Knowledge Distillation via Learnable Data Pruning
-
SeFi-Image: A Text-to-Image Foundation Model with Semantic-First Diffusion
-
TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems
-
EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis
-
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery
-
BiPACE: Bisimulation-Guided Policy Optimization with Action Counterfactual Estimation for LLM Agents
-
Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation
-
Riazi-8B: An Urdu Large Language Model for Mathematical Reasoning
-
SpeechEQ: Benchmarking Emotional Intelligence Quotient in Socially Aware Voice Conversational Models
-
Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models
-
Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors
-
Project Auto-World: Towards Automated Benchmarking of Neural Relational Reasoners
-
Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints
-
Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs
-
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
-
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
-
DiffusionBench: On Holistic Evaluation of Diffusion Transformers
-
SignNet-1M: Large-Scale Multilingual Sign Language Video Dataset with Downstream Benchmarks
-
MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving
-
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
-
On the Stability of Prompt Ranking in Large Language Model Evaluation
-
Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations
-
Are We Ready For An Agent-Native Memory System?
-
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
-
BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
-
RASC+: Retrieval-Constrained LLM Adjudication for Clinical Value Set Authoring
-
L3Cube-MahaPOS: A Marathi Part-of-Speech Tagging Dataset and BERT Models
-
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
-
Can Scale Save Us From Plasticity Loss in Large Language Models?
-
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
-
PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models
-
VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification
-
Aligning Audio Captions with Human Preferences
-
Qwen-AgentWorld: Language World Models for General Agents
-
SHERLOC: Structured Diagnostic Localization for Code Repair Agents
-
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
-
Scaling Laws for Task-Specific LLM Distillation
-
CALIBER: Calibrating Confidence Before and After Reasoning in Language Models
-
AgentArmor: A Framework, Evaluation, \& Mitigation of Coding Agent Failures
-
PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback
-
VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions
-
MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection
-
Characterizing Narrative Content in Web-scale LLM Pretraining Data
-
CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs
-
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
-
ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification
-
Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement
-
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
-
Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
-
Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech
-
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
-
The Hidden Evolution of Disguised Visual Context inside the VLM
-
Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning
-
FloatDoor: Platform-Triggered Backdoors in LLMs
-
Where Does Social Reasoning Come From? Capability Provenance in Language Models
-
Probe-and-Refine Tuning of Repository Guidance for Coding Agents
-
Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation
-
Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems
-
LLMs Struggle to Measure What Distinguishes Students of Different Proficiency Levels: A Study of Item Discrimination in Reading Comprehension Assessment
-
FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
-
Hierarchical Multi-Modal Retrieval for Knowledge-Grounded News Image Captioning
-
A Unified Framework for Efficient Remote Sensing Visual Question Answering: Adapting Dual, Hybrid, and Encoder-Decoder Architectures
-
Beyond Scalar Scores: Exploring LLM-based Metrics for Clinical Significance Evaluation in Radiology Reports
-
Diffusion-Proof: Recipe for Formal Theorem Proving Beyond Auto-Regressive Generation
-
Steerable Cultural Preference Optimization of Reward Models
-
Leadership as Coordination Control: Behavioral Signatures and the Recovery-Advantage Boundary in Multi-Agent LLM Teams
-
Towards Understanding What State Space Models Learn About Code
-
Improve Large Language Model Systems with User Logs
-
InfoPO: Information-Driven Policy Optimization for User-Centric Agents
-
VISUALSKILL: Multimodal Skills for Computer-Use Agents
-
Enhancing Multilingual Reasoning via Steerable Model Merging
-
Dango: A Strictly L1-Only Large Language Model for Studying Second Language Acquisition
-
Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks
-
Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming
-
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
-
CAOA -- Completion-Assisted Object-CAD Alignment
-
Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
-
Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation
-
See First, Answer Later: Visual Evidence Pre-Alignment via Sufficiency-Driven RL
-
When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval
-
Dissecting model behavior through agent trajectories
-
SEAGym: An Evaluation Environment for Self-Evolving LLM Agents
-
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
-
The Benchmark Illusion: Pruned LLMs Can Pass Multiple Choice but Fail to Answer
-
Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews
-
RooseBERT: A New Deal For Political Language Modelling
-
ZeroSyl: Simple Zero-Resource Syllable Tokenization for Spoken Language Modeling
-
MoSE: Mixture of Slimmable Experts for Efficient and Adaptive Language Models
-
RadSEM: A Finding-by-Finding Metric for Clinical Consistency in Radiology Reports
-
MedicalAgentsBench for Complex Medical Reasoning: Comparing Internalized Reasoning Models versus Externalized Agent-based Frameworks
-
Deep Reinforcement Learning for Minimum Zero-Forcing Sets
-
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
-
When LLMs Analyze Scars: From Images to Clinically-Meaningful Features
-
S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices
-
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
-
TaFD: Threat-Aware Frequency Decoupling for Adversarial Robustness against Heterogeneous Attacks
-
EventDrive: Event Cameras for Vision-Language Driving Intelligence
-
Advances in 4D Representation: Geometry, Motion, and Interaction
-
SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
-
LLMs Infer Cultural Context but Fail to Apply It When Responding
-
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?
-
findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding
-
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
-
DeepInsight: A Unified Evaluation Infrastructure Across the Physical AI Stack
-
ParkingTransformer: LLM-Enhanced End-to-End Trajectory Planning for Autonomous Parking
-
Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict
-
HRDX: A Large-Scale Vector HD-Map Dataset
-
Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
-
CrossMaps: Confidence-Aware Open-Vocabulary Semantic Mapping for Rover Navigation
-
Mask Proposal Voting Based on Geodesic Framework for Robust Image Segmentation
-
On the Adversarial Robustness of Multimodal LLM Judges
-
Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models
-
GRACE: Boosting Video MLLMs with Grounded Action-Centric Evidence for Viewer Sentiment Prediction
-
Chronological Blindness: Benchmarking Temporal Reasoning in Vision-Language Models with CHRONOSIGHT
-
LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models
-
Towards Verifiable Agentic Data Science: Solving Irregular TSQA Via Tool-Grounded Reasoning
-
MVEB: Massive Video Embedding Benchmark
-
GradPower: Powering Gradients for Faster Language Model Pre-Training
-
Constitutional Value Potentials: reading and steering internal priority margins in language models
-
Beyond the Blood Draw: Explainable Machine Learning for Non-Invasive Dysglycemia Risk Screening
-
Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives
-
Distilling latent electrostatics from foundation machine learning interatomic potentials
-
Not All Skills Help: Measuring and Repairing Agent Knowledge
-
EIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management
-
TuneJury: An Open Metric for Improving Music Generation Preference Alignment
-
Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation
-
Gender Differences in AI Literacy Workshop Outcomes and Deepfake Engagement
-
ACC: Compiling Agent Trajectories for Long-Context Training
-
The Value Axis: Language Models Encode Whether They're on the Right Track
-
FlowMPC: Improving Flow Matching policies with World Models
-
LLM Judges Have Dark Current: A Psychometric Datasheet for LLM-as-a-Judge Evaluation
-
The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages
-
Pepti-Agent: An AI Agent for Peptide Design and Optimization
-
Topological Flow Matching
-
Metric Match: A Subset Selection Approach to Evaluating LLM Judge Reliability
-
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure
-
GAS-Leak-LLM: Genetic Algorithm-Based Suffix Optimization for Black-Box LLM Jailbreaking
-
EffGen: Enabling Small Language Models as Capable Autonomous Agents
-
EdgeZSAD: Practical Zero-Shot Anomaly Detection on Edge Devices
-
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
-
Latent Thought Flow: Efficient Latent Reasoning in Large Language Models
-
MIRAGE: Auditing Anti-Muslim Bias in Frontier LLMs Across Reasoning, Agentic, and Time-Coupled Conditions
-
DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing
-
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
-
Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective
-
BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation
-
PaperJury: Due-Process Review for Bounded LaTeX Revision
-
A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization
-
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs
-
MosaicQuant: Inlier-Outlier Disaggregation for Unified 4-Bit LLM Quantization
-
LLM-as-Code Agentic Programming for Agent Harness
-
SciText2Eq: Assessing LLMs for Explainable Equation Generation for Scientific Creativity
-
Sub-Semantic Image Segmentation
-
Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier
-
Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?
-
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
-
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
-
UXBench: Measuring the Actionability of LLM-Generated UX Critiques
-
AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM Systems
-
Naive Visual Memory is Not Enough: A Failure-Mode Study of GUI Agents
-
FLaRA: Predicting Future Latent Representations for Accident Anticipation
-
VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling
-
RT-VLA: Real-Time Vision-Language-Action Models via Knowledge Distillation
-
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
-
Hybrid Classical-Quantum Variational Autoencoder for Neural Topic Modeling
-
Recipe-Controlled Decoder Audit for Structural Knowledge-Graph Completion
-
A General Framework for Decision Trees via Bregman Divergences
-
From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
-
MeEvo: Metacognitive Evolution Combined with Natural Evolution for Automatic Heuristic Design
-
Poker Arena: Multi-Axis Profiling of Strategic Reasoning and Memory in LLMs
-
ADORE: Iterative Query Expansion with Retrieval-Grounded Relevance Feedback
-
Clay-CNN Hybrids: Leveraging Geo-Foundational Models as Auxiliary Context for Landslide Detection
-
AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models
-
Low-Burden LLM-Based Preference Learning: Personalizing Assistive Robots from Natural Language Feedback for Users with Paralysis
-
DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation
-
Harsher on Male? Evaluating LLMs on Gender-Asymmetric Moral Framing Across Diverse Conflict Scenarios
-
The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training
-
Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention
-
Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models
-
SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs
-
A Fixed-Point Neural Operator for Size- and Functional-Transferable Hamiltonian Prediction
-
Revisiting Vehicle Color Recognition in Long-Tailed Surveillance Scenarios
-
GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models
-
Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments
-
Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
-
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
-
FENCE: A Financial and Multimodal Jailbreak Detection Dataset
-
Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents
-
One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders
-
IVIE: A Neuro-symbolic Approach to Incremental and Validated Generation of Interactive Fiction Worlds
-
SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation
-
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
-
HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented Agents
-
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
-
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
-
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
-
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
-
Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach
-
Nous: An Attempt to Extract and Inject the Cognition Behind Prediction-Market Behavior
-
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning
-
Agents-K1: Towards Agent-native Knowledge Orchestration
-
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
-
LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling
-
EDEN: A Large-Scale Corpus of Clinical Notes for Italian
-
KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty
-
The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring
-
ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
-
GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
-
Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It
-
Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2
-
ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval
-
A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations
-
An Industrial-Scale Insurance LLM Achieving Verifiable Domain Mastery and Hallucination Control without Competence Trade-offs
-
Calibrating Overconfidence Without Sacrificing Confidence: Probe-Conditioned Head Intervention for LLMs
-
Conservation Laws from Data Symmetry in Neural Networks
-
When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice
-
PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection
-
Task Robustness via Re-Labelling Vision-Action Robot Data
-
Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
-
Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents
-
PhantomBench: Benchmarking the Non-existential Threat of Language Models
-
TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit
-
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
-
When Attribution Patching Lies: Diagnosis and a Second-Order Correction
-
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
-
Gaming AI-Assisted Peer Reviews Poses New Risks to the Scientific Community
-
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
-
BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression
-
KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
-
Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation
-
UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation
-
Stop Early, Spend Less: Hidden-State Probes as a Practical Recipe for Streaming Moderation of LLM Outputs
-
SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation
-
RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning
-
Predicting Future Behaviors in Reasoning Models Enables Better Steering
-
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
-
The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans
-
EstRTL: Functional Estimation Guided RTL Code Generation
-
Towards Diverse Scientific Hypothesis Search with Large Language Models
-
Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching
-
Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining
-
Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS
-
Bellman-Taylor Score Decoding for Markov Decision Processes with State-Dependent Feasible Action Sets
-
FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model
-
The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
-
Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
-
POISE: Position-Aware Undetectable Skill Injection on LLM Agents
-
What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
-
SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
-
Liberating LLM Capabilities in Full-Duplex Speech Models
-
ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
-
Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models
-
Post-training is (Massive) Supervised Learning
-
Bridging Traditional Explainability Methods and Multimodal Multilingual Models: An XAI-Based Analysis
-
MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation
-
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
-
ZIPP:Zero-shot Image Personalization from Personas
-
FF-JEPA: Long-Horizon Planning in World Models with Latent Planners
-
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
-
VESTA: A Fully Automated Scenario Generation and Safety Evaluation Framework for LLM Agents
-
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
-
Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
-
OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs
-
Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning
-
Code Is More Than Text: Uncertainty Estimation for Code Generation
-
Nonparametric LLM Evaluation from Preference Data
-
POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
-
Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks
-
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?
-
LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training
-
Conan-embedding-v3: Fusing Modality-Specific Models for Omni-Modal Embedding
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To Nuke or Not to Nuke: LLMs' (Missing) Ethical Reasoning and Actions in a High-Stakes Decision-Making Simulation
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MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance
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Discovering Expert-Level Nash Equilibrium Algorithms with Large Language Models
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Efficient Skill Grounding via Code Refactoring with Small Language Models
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GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning
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InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs
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DALE-CT: Depth-Aware Foundation Models for Computed Tomography
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DyCo-RL: Dynamic Cross-Modal Coordination for Visual Reasoning
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OmniTryOn: Video Try-On Anything at Once!
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SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders
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PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping
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HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging
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Claude Code-Driving Scenario Mining for the Argoverse 2 Challenge
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Latent Spatial Memory for Video World Models
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POTATR: A Lightweight Image-to-Graph Model for Page-Level Table Extraction
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Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration
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SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)
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Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation
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Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
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FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
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A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design
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APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music
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AttentionCap: Transformer Based Capacitance Matrix Learning Toward Full-Chip Extraction
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BUDDY: BUdget-Driven DYnamic Depth Routing for Adaptive Large Language Model Inference
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Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
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VideoWeaver: Evaluating and Evolving Skills for Agentic Long Video Generation
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Explaining Data Mixing Scaling Laws
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Contemporary AI lacks the imagination to diverge or negate in science
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Stage-1 Controls the Entropy Regime, Not the Outcome
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NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
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Real-time body pose non-verbal communication with a consistency-based reliability measure
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SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
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FMplex: Model Virtualization for Serving Extensible Foundation Models
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NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
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ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning
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GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
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Accelerating Reproducible Research in Synthetic EHR Generation
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MalTree: Tracing Malware Evolution from Embeddings at Scale
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AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps
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OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios
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Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems
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Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers
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Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces
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SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
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GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection
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When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations
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Database Normalization via Dual-LLM Self-Refinement
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MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights
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An Expanded Synthetic Conversation Dataset for Multi-Turn Smishing Detection
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Beyond Rubrics: Exploration-Guided Evaluation Skills for Reward Modeling
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HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG
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Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs
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MacArena: Benchmarking Computer Use Agents on an Online macOS Environment
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MCERF: Advancing Multimodal LLM Evaluation of Engineering Documentation with Enhanced Retrieval
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GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning
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EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering
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Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle
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LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics
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Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation
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ActionMap: Robot Policy Learning via Voxel Action Heatmap
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Are Large Language Models Suitable for Graph Computation? Progress and Prospects
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Improving Cross-Lingual Factual Recall via Consistency-Driven Reinforcement Learning
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M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions
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Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents