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Hugging Face
1273 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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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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Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity
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The Key to Going Linear: Analysis-Driven Transformer Linearization
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The Appeal and Reality of Recycling LoRAs with Adaptive Merging
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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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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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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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Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1
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The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI
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Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents
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When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents
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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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AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation
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Health System Scale Semantic Search Across Unstructured Clinical Notes
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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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SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixture-of-Experts
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From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents
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SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI 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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What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study
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LEMUR 2: Unlocking Neural Network Diversity for AI
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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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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
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Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
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Open-Ended Scenario Reasoning for Specialist Model Adaptation
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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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Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search
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PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation
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SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models
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UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
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ArtisanCAD: An Industrial-Level CAD Agent with Expert-Grounded Knowledge Distillation
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FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games
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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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RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations
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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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An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery
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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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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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FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
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CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration
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MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
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MobileWan: Closing the Quality Gap for Mobile Video Diffusion
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AlayaWorld: Long-Horizon and Playable Video World Generation
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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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Information Limits and Attractor Dynamics in Economies of Frontier LLM Agents: A Pre-Registered Test
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Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade
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Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark
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Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development
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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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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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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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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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RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications
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NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
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Mecha-nudges for Machines
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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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Separating Representation from Reconstruction Enables Scalable Text Encoders
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Scalable Semantic Steering of Embedding Projections
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Enhancement of E-commerce Sponsored Search Relevancy with LLM
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Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
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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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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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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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When Words Predict Workload
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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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MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs
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TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
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Geometry of Ordinal Representations in Language Models
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Rethinking AI-Generated Text Detection: A Strong Baseline and the Distribution-Shift Problem That Remains
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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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Don't Blame the Large Language Model: How Scaffolding Evolution Shapes Coding Agent Quality
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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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AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer
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Repurposing CLIP to Localize at Pixel Level
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EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots
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VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs
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Evaluation of Medical Vision Language Models HuluMed and MedGemma, and general purpose chatbots Gemma 3, ChatGPT Plus, and Claude Pro on real previously unseen wound images
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IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation
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ELiTeFormer: An Efficient Transformer for FPGAs
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Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
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Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents
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Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon Manipulation
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Programming over Thinking: Efficient and Robust Multi-Constraint Planning
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StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model
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GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation
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FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms
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Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
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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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GLM-5 Serving Parameter Tuning for OpenClaw: Single-Deployment MaaS Inference Optimization for Long-Context Agent Workloads
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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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TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
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Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms?
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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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LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
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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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SteelBench: Evaluating Vision-Language Models in Real-World Industrial Environments
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Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity
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A Fair Benchmarking of Deep Relational Database Learning Models
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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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LLM-Based Test Oracles: Source-of-Authority Taxonomy -- A Systematic Literature Review
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Beyond Task Completion: A Verification-vs.-Conformance Gap in Tool-Evolving Agents
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Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
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kAgent: An execution-guided crash resolution agent for the Linux kernel
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VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents
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AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
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Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity
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Toward Trustworthy Large Language Model Agents in Healthcare
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
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Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation
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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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Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs
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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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Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection
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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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Large-scale dataset of automatically classified rhetorical sections in scientific papers
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HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control
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Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data?
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CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces
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MedCalc-Pro: Solving Complex Medical Calculations with LLM Agents
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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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Sangam: Efficiently Serving Diffusion LLMs with the AR Stack
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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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VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
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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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How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation
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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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MapDreamer: Aerial Imagery Conditioned Latent Diffusion for Lane-Level Map Generation
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Multi-Resolution Flow Matching: Training-Free Diffusion Acceleration via Staged Sampling
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VisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object Retrieval
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TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution
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Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation
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Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases
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Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling
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Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing
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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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Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
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Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph
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CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
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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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Mapping Text to Multiplex Graph: Prompt Compression as L\'evy Walk-Guided Graph Pruning
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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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Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
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Towards Load-Aware Prefill Deflection for Disaggregated LLM Serving
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Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens
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From Experiments to Expertise: Scientific Knowledge Consolidation for AI-Driven Computational Physics
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RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules
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BamiBERT: A New BERT-based Language Model for Vietnamese
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Know Your Source: A Public Knowledge Store for Media Background Checks
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Will Scaling Improve Social Simulation with LLMs?
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Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
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SINA: A Fully Automated Circuit Schematic Image to Netlist Generator Using Artificial Intelligence
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Many Voices, One Reward: Multi-Role Rubric Generation for LLM Judging and Reward Modeling
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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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A rubric-based controlled comparison of frontier language models on expert-authored clinical reasoning tasks
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Safeguarding LLM Agents from Misalignment through Provenance Analysis
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Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction
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AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanations
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Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code
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ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
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Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism
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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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Histopathology Multi-modal Embedding for Pathology Composed Retrieval
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Towards Metric-Agnostic Trajectory Forecasting
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HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding
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Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing
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PixelEyes: Decoupling Perception and Reasoning for Pinpoint Visual Evidence Seeking
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GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
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MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages
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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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LV-ROVER: Multi-Stream Tesseract Voting for Maltese Paragraph OCR
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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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EPC: A Standardized Protocol for Measuring Evaluator Preference Dynamics in LLM Agent Systems
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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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Toward Cybersecurity-Expert Small Language Models
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VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning
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YOMI-Bench: A Benchmark for Evaluating Kanji Reading and Phonological Understanding of LLMs for Japanese
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MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors
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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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GRACE-RAG: Governed Retrieval Architecture for Canonical Evidence Synthesis, Enabling Lightweight Deployment in Closed-Domain Institutional Settings
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GKDT: General Keypoint Detection Transformer
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Towards High-Resolution Visual Perception via Hierarchical Entity Exploration
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Vertigo Vertigo: Reconstructing a Cinematic Ideal through its Predictive AI Double
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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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Measuring the Gap Between Human and LLM Research Ideas
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Diffusion-GR2: Diffusion Generative Reasoning Re-ranker
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Comparative Analysis of Lightweight CNNs for Resource-Constrained Devices: Predictive Performance, Efficiency Trade-offs, and Initialization Effects
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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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CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education
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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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BaRA: BFS-and-Reflection Web Data Collection Agent
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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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REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations
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Benchmarking Frontier LLMs on Arabic Cultural and Sociolinguistic Knowledge: A Cross-Evaluation Framework with Human SME Ground Truth
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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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AI Native Games: A Survey and Roadmap
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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
-
Large language models replicate and predict human cooperation across experiments in game theory
-
Tone-Conditioned Curriculum Learning for Low-Resource Bantu Speech Recognition
-
Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings
-
LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment
-
A Reproducible Benchmark of Lightweight CNNs: Accuracy, Efficiency, and the Impact of Pretrained Initialization
-
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
-
GR2 Technical Report
-
Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian
-
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
-
Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions
-
ALM2Vec: Learning Audio Embeddings for Universal Audio Retrieval with Large Audio-Language Models
-
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
-
HistoriQA-ThirdRepublic: Multi-Hop Question Answering Corpus for Historical Research, Parliamentary Debates from the French Third Republic (1870-1940)
-
The Past Is Prologue: A Plug-in Controller for Selective Updates in Sequentially Evolving LLM Memory
-
WIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation
-
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist
-
Fork-Think with Confidence
-
Calibration, Not Compilation: Detecting and Repairing Misspecified Probabilistic Programs Written by Language Models
-
CVE-TTP KG: Knowledge Graph Linking Software Vulnerabilities to Attack Behaviors
-
Beyond Clean Text: Evaluating Encoder and Decoder Robustness for Bangla Event Detection in Noisy Text
-
CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning
-
REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent
-
Calibrating the Evaluator: Does Probability Calibration Mitigate Preference Coupling in LLM Agent Feedback Loops?
-
Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas?
-
Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA
-
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
-
Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics
-
ClawArena-Team: Benchmarking Subagent Orchestration and Dynamic Workflows in Language-Model Agents
-
HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
-
Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law
-
Human-Agent Collaborative Paper-to-Page Crafting
-
Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
-
A Three-Phase Foundation Model for Tax-Aware Personalized Portfolio Management
-
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?
-
Fora: From Weight-Space to Function-Space Protection in Capability-Preserving Fine-Tuning
-
A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control
-
Why Solve It Twice? Hierarchical Accumulation of Skills for Transfer-Efficient ML Engineering
-
An Empirical Study of Security Calibration in Large Language Models for Code
-
Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue
-
Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
-
CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift
-
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
-
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
-
Multimodal Mathematical Reasoning with Diverse Solving Perspective
-
Attractor States Emerge in Multi-Turn LLM Conversations
-
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
-
Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation
-
Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation
-
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
-
Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation
-
DataComp-VLM: Improved Open Datasets for Vision-Language Models
-
Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
-
Reliability-Prioritized Fine-Grained Generation in Multimodal Large
-
Momentum Guidance: Plug-and-Play Guidance for Flow Models
-
HEARTS: Benchmarking LLM Reasoning on Health Time Series
-
Primary ICD Category Prediction using LLM-based Probing
-
LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents
-
Cognitive World Models for Process-Level Social Influence Evaluation
-
ManimAgent: Self-Evolving Multimodal Agents for Visual Education
-
Rigel: Self-Distilled Score Adaptation for Image and Video Captioning Evaluation
-
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
-
MAM-AI: An On-Device Medical Retrieval-Augmented Generation System for Nurses and Midwives in Zanzibar
-
The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning
-
Can LLMs Hire Fairly? Racial Bias in Resume Screening
-
Conversational Domain Adaptation of IndicTrans2 across 21 Indic Languages via Experience Replay and Model Soups
-
How LLMs See Creativity: Zero-Shot Scoring of Visual Creativity with Interpretable Reasoning
-
Timesteps of Mamba Align with Human Reading Times
-
Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency
-
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
-
StrucTab: A Structured Optimization Framework for Table Parsing
-
SICAGE: Speaker-Independent Culture-Aware Gesture Generation using TED4C-L Dataset
-
Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
-
Geometric Measurements of the Axiom of Choice in Neural Proof Embeddings
-
Blackknife: Hard-Label Query-Limited Black-Box Attacks on Heterogeneous Graph Neural Networks
-
CAREBench: A Child-Safety Risk Benchmark for Language Models
-
Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns
-
DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model
-
Beyond IID: How General Are Tabular Foundation Models, Really?
-
TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies
-
AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills
-
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
-
SemJoin: Semantic Join Optimization
-
TopoAgent: An Agentic Framework for Automated Topology Learning in Medical Imaging
-
FlatLands: Generative Floormap Completion From a Single Egocentric View
-
CLIMP: Contrastive Language-Image Mamba Pretraining
-
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
-
A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP
-
APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms
-
Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation
-
How much of an LLM-generated clinical corpus is actually new? A production-scale measurement of content redundancy for provenance classification
-
Mandol: An Agglomerative Agent Memory System for Long-Term Conversations
-
Self-Evolving World Models for LLM Agent Planning
-
GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
-
Towards Evaluating Data Priors for Tabular Foundation Models
-
Miti360: A Comprehensive Dataset for Improved Reforestation Monitoring
-
Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources
-
Digitizing Coaching Intelligence: An Agentic Framework for Holistic Athlete Profiling using VLM and RAG
-
Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare
-
Cross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance
-
Legal Domain Adaptation of Modern BERT Models
-
Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature
-
MCP Server Architecture Patterns for LLM-Integrated Applications
-
FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images
-
Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks
-
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
-
Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution
-
W4A4 Quantization for Inference on Wan2.2-I2V-A14B
-
The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction
-
IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations
-
An AI agent for treatment reasoning over a biomedical tool universe
-
Agentic Abstention: Do Agents Know When to Stop Instead of Act?
-
SFBench: The SciFy Scientific Feasibility Benchmark
-
MirrorCode: AI can rebuild entire programs from behavior alone
-
Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents
-
Implementation of Hyperelastic Physics-Augmented Neural Networks in the Explicit Finite Element Codes Simcenter Radioss and OpenRadioss with Applications to Impact Events
-
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
-
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics
-
How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation
-
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?
-
Em-ergence of the em-dash: a population-level rise in em-dash frequency in medRxiv preprints at the dawn of the large-language-model era
-
SABER-Math: Automated Benchmark for Information Retrieval Evaluation in Mathematics
-
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
-
Fuzzing Large Language Models to Elicit Hidden Behaviours
-
Schema-First Retrieval: Embedding Catalogs for Natural Language Analytics
-
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
-
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
-
Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task?
-
Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking
-
SCARCE: Scalable Cascade Analysis for Rare-event Characterisation via Embeddings
-
Latent Bridges for Multi-Table Question Answering
-
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
-
HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression
-
DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
-
KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory
-
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
-
Featuring Every Eval Ever Results on Hugging Face Model Pages
-
Democratic ICAI: Debating Our Way to Steering Principles from Preferences
-
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
-
Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment
-
DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain
-
When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
-
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
-
Multimodal Evaluator Preference Collapse: Cross-Modal Coupling in Self-Evolving Agents
-
Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents
-
Cross-Platform Chinese Offensive Comment Detection via Dual-Threshold Hard Example Mining
-
VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring
-
Self-Stigma Is Not a Monolith, but Generic Empathy Is: Persona-Conditioned LLM Support for People Who Use Drugs
-
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?
-
Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
-
Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context
-
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
-
VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models
-
CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations
-
The Context-Ready Transformer
-
From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models
-
Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting
-
When Role-playing, Do Models Believe What They Say?
-
Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News
-
Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork
-
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
-
Where Larger Models Excel: The Primacy of Constraint-Guided Reasoning
-
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
-
Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training
-
HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization
-
In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics
-
Rotary Position Encodings for Graphs
-
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
-
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
-
An Empirical Study of LLM-Generated Specifications for VeriFast
-
LAMP: Lane-Aligned Motion Primitives for Feasible Trajectory Prediction
-
Lacuna: A Research Map for Machine Learning
-
Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models
-
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization
-
SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference
-
Robust Onion: Peeling Open Vocab Object Detectors Under Noise
-
SamaVaani: Auditing and Debiasing Multilingual Clinical ASR for Indian Languages
-
ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models
-
SocialPersona: Benchmarking Personalized Profiling and Response with Multimodal Social-Media Context
-
Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT
-
GAVEL: Grounded Caption Error Verification and Localization
-
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
-
Training Language Models to Use Prolog as a Tool
-
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
-
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
-
TaskNPoint: How to Teach Your Humanoid to Hit a Backhand in Minutes
-
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
-
Soft Token Alignment for Cross-Lingual Reasoning
-
Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
-
Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension
-
Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data
-
Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMs
-
RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations
-
Reasoning Quality Emerges Early: Data Curation for Reasoning Models
-
Run a vLLM Server on HF Jobs in One Command
-
Cliff Tokens: Identifying Single-Token Failure Triggers in LLM Mathematical Reasoning
-
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
-
MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios
-
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
-
A Probabilistic Framework for LLM-Based Model Discovery
-
Steering Vision-Language Models with Joint Sparse Autoencoders
-
C3-Bench: A Context-Aware Change Captioning Benchmark
-
LEVIRDet: A Million-Scale 159-Category Dataset and Foundation Model for Universal Remote Sensing Object Detection
-
EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis
-
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
-
OracleAnalyser: Analysing Implicit Semantics of Oracle Bone Scripts through MLLMs with Post-training
-
ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving
-
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
-
A Survey of Toxicity Detection and Mitigation Strategies for Multilingual Language Models
-
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
-
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
-
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
-
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
-
Balalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech
-
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
-
CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation
-
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
-
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
-
2.5-D Decomposition for LLM-Based Spatial Construction
-
DramaDirector: Geometry-Guided Short Drama Generation
-
On the Stability of Prompt Ranking in Large Language Model Evaluation
-
A global log for medical AI
-
Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations
-
Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment
-
Are We Ready For An Agent-Native Memory System?
-
AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages
-
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search
-
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
-
BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
-
RASC+: Retrieval-Constrained LLM Adjudication for Clinical Value Set Authoring
-
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
-
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
-
A Benchmark of State-Space Models vs. Transformers and BiLSTM-based Models for Historical Newspaper OCR
-
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
-
Can Scale Save Us From Plasticity Loss in Large Language Models?
-
Grading the Grader: Lessons from Evaluating an Agentic Data Analysis System
-
When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs
-
AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability
-
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
-
T2D-Bench: Evidence-Gated Evaluation of LLM Outputs for Type 2 Diabetes Using a Multi-Layer Clinical-Lifestyle Knowledge Graph
-
LemonHarness Technical Report
-
Aligning Audio Captions with Human Preferences
-
Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
-
Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams
-
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
-
Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code
-
PP\-OCRv6 on Hugging Face: 50\-Language OCR from 1\.5M to 34\.5M Parameters
-
NRITYAM: Language Models Meet Art and Heritage of Dance
-
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
-
PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback
-
Gaussian Process Prior Variational Autoencoder for Endoscopic Videos
-
BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models
-
Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship
-
Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech
-
Low-Burden Data Augmentation for Dysarthric ASR via Zero-Shot Voice Cloning
-
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems
-
IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources
-
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
-
MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection
-
Source-Grounded Data Generation for Text-to-JSON Learning
-
Characterizing Narrative Content in Web-scale LLM Pretraining Data
-
StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs
-
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
-
FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model
-
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
-
Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation
-
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
-
CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models
-
Human Universal Grasping
-
Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
-
Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech
-
FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines
-
CREDENCE: Claim Reduction for Decomposition & Enhanced Credibility -- Semantic Metrics and Convergence Analysis
-
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
-
The Hidden Evolution of Disguised Visual Context inside the VLM
-
PCBSchemaGen: Reward-Guided LLM Code Synthesis for Printed Circuit Boards (PCB) Schematic Design with Structured Verification
-
FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style Reasoning
-
Spectral Retrieval-Augmented Time-Series Forecasting
-
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
-
AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA
-
GLARE: A Natural Language Interface for Querying Global Explanations
-
Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG Systems
-
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
-
SenFlow: Inter-Sentence Flow Modeling for AI-Generated Text Detection in Hybrid Documents
-
Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech
-
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
-
Explaining Attention with Program Synthesis
-
Sumi: Open Uniform Diffusion Language Model from Scratch
-
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
-
RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing
-
Diffusion-Proof: Recipe for Formal Theorem Proving Beyond Auto-Regressive Generation
-
From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions
-
PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes
-
From Specification to Execution: AI Assisted Scientific Workflow Management
-
Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response
-
Steerable Cultural Preference Optimization of Reward Models
-
CAPRA: Scaling Feedback on Software Architecture Deliverables with a Multi-Agent LLM System
-
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
-
LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection
-
PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning
-
VISUALSKILL: Multimodal Skills for Computer-Use Agents
-
Enhancing Multilingual Reasoning via Steerable Model Merging
-
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
-
Dango: A Strictly L1-Only Large Language Model for Studying Second Language Acquisition
-
DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models
-
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
-
Evaluating Prompting-Based Defenses Against Domain-Camouflaged Injection Attacks
-
CAOA -- Completion-Assisted Object-CAD Alignment
-
Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution
-
Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
-
Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation
-
Is it agentic enough? Benchmarking open models on your own tooling
-
From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot
-
EgoCS-400K: An Egocentric Gameplay Dataset for World Models
-
Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic 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
-
Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
-
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
-
Fine-tuning LLMs for Passive Depression Severity Estimation from AI Mental Health Dialogue
-
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
-
FacProcessTwin: An LLM-Based System for Process Twin Development
-
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
-
Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI Models
-
TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins
-
Temporal Preference Optimization for Unsupervised Retrieval
-
SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology
-
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
-
Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
-
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
-
Million-scale multimodal pollen microscopy with expert-guided foundation models
-
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
-
ProCUA-SFT Technical Report
-
BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM
-
SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
-
Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond
-
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?
-
Unintended Effects of Geographic Conditioning in Large Language Models
-
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
-
LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks
-
EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent
-
Structural Role Injection in Handlebars-Templated LLM Prompts: Triple-Brace Interpolation, Delimiter Family, and the Limits of HTML Auto-Escaping
-
Disentangling Perception and Reasoning in Multimodal LLMs via Reward Design
-
Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning
-
findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding
-
DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
-
PreAct: Computer-Using Agents that Get Faster on Repeated Tasks
-
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
-
HRDX: A Large-Scale Vector HD-Map Dataset
-
Mask-Proof: An LLM-based Automated Data Curation Pipeline on Mathematical Proofs
-
PrologMCP: A Standardized Prolog Tool Interface for LLM Agents
-
Agent trajectories as programs: fingerprinting and programming coding-agent behavior
-
CrossMaps: Confidence-Aware Open-Vocabulary Semantic Mapping for Rover Navigation
-
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
-
HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools
-
Style-CCL: Content-Preserving Style Transfer via Curriculum Continual Learning
-
Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2
-
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
-
NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis
-
GRACE: Boosting Video MLLMs with Grounded Action-Centric Evidence for Viewer Sentiment Prediction
-
VinQA: Visual Elements Interleaved Long-form Answer Generation for Real-World Multimodal Document QA
-
Stringalign: Moving beyond summary statistics with a transparent Unicode-aware tool for evaluating automatic transcription models
-
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
-
SAMTok: Representing Any Mask with Two Words
-
Towards Verifiable Agentic Data Science: Solving Irregular TSQA Via Tool-Grounded Reasoning
-
MVEB: Massive Video Embedding Benchmark
-
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints
-
GradPower: Powering Gradients for Faster Language Model Pre-Training
-
TriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation
-
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
-
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
-
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
-
TokenPilot: Cache-Efficient Context Management for LLM Agents
-
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
-
Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization
-
LLM Jaggedness Unlocks Scientific Creativity
-
Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
-
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
-
Reinforcement Learning for LLM-based Event Forecasting
-
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
-
SkillVetBench: LLM-as-Judge for Multi-Dimensional Security Risk Evaluation in Open-Source LLM Agent Skills
-
Pepti-Agent: An AI Agent for Peptide Design and Optimization
-
Topological Flow Matching
-
Metric Match: A Subset Selection Approach to Evaluating LLM Judge Reliability
-
A Unified Definition of Hallucination: It's The World Model, Stupid!
-
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure
-
Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse?
-
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
-
AI Supply Chain Galaxy: 3D Visual Analytics for License Compliance
-
SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix Extensions
-
Latent Action Pretraining Through World Modeling
-
Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes
-
MultiMolecule: a modular ecosystem for biomolecular sequence-model workflows
-
Rapid Poison: Practical Poisoning Attacks Against the Rapid Response Framework
-
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
-
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
-
DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic Auditing
-
FasterPy: An LLM-based Code Execution Efficiency Optimization Framework
-
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
-
Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective
-
Stop When Further Reasoning Won't Help: Attention-State Adaptive Generation in Reasoning Models
-
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
-
SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks
-
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs
-
SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
-
MosaicQuant: Inlier-Outlier Disaggregation for Unified 4-Bit LLM Quantization
-
LLM-as-Code Agentic Programming for Agent Harness
-
AgentFairBench: Do LLM Agents Discriminate When They Act?
-
SciText2Eq: Assessing LLMs for Explainable Equation Generation for Scientific Creativity
-
Human genetic evidence is associated with drug approval across therapeutic areas: an observational analysis of 26,278 target-disease pairs with temporal validation and feature ablation
-
Sub-Semantic Image Segmentation
-
Hierarchical Modeling of ICD Codes in EHR Foundation Models
-
Beyond Correctness: Enhancing Architectural Reasoning in Code LLMs via Scalable Labeling with Agentic Judgment
-
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?
-
Phishing Email Detection Using Large Language Models
-
Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering
-
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
-
Embedded Arena: Iterative Optimization via Hardware Feedback
-
Orchestrated Reality: From Role-Play to Living, Playable Game Worlds -- LLM-Driven World Simulation as a Parameterized-Action POMDP
-
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
-
Fine-Tuning a 7B Advisor on Free-Tier GPUs: An Adapter-Handoff Recipe and a Synthetic-Data Reliability Caution
-
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
-
IndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products
-
VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling
-
When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime
-
Overhead Wildlife Locator (OWL): Benchmarking Weakly Supervised Learning for Aerial Wildlife Surveys
-
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
-
Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes
-
Recipe-Controlled Decoder Audit for Structural Knowledge-Graph Completion
-
PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic Manipulation
-
A General Framework for Decision Trees via Bregman Divergences
-
AgentSpec: Understanding Embodied Agent Scaffolds Through Controlled Composition
-
Simulating Students' Java Programming Errors with Large Language Models
-
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
-
Small LLMs: Pruning vs. Training from Scratch
-
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
-
AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models
-
Avatar V: Scaling Video-Reference Avatar Video Generation
-
FactoryLLM: A Safe and Open-Source AI Playground for Evaluating LLMs in Smart Factories
-
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
-
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
-
LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations
-
BayLing-Duplex: Native Full-Duplex Speech Dialogue with a Single Autoregressive LLM
-
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
-
A New Multi-Domain Benchmark for Micro-Action Recognition and Detection
-
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
-
Neither Parallel Nor Sequential: How DiffusionGemma Actually Commits Tokens
-
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
-
STREAM: Multi-Tier LLM Inference Middleware with Dual-Channel HPC Token Streaming
-
I'm Sorry Driver, I'm Afraid I Can't Do That: Appraising the Safety of LLMs within Automotive Contexts
-
When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing
-
Revisiting Vehicle Color Recognition in Long-Tailed Surveillance Scenarios
-
YOLO-AMC: An Improved YOLO Architecture with Attention Mechanisms for Building Crack Detection
-
One Token to Fool LLM-as-a-Judge
-
GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal Models
-
AfroScope: A Framework for Studying the Linguistic Landscape of Africa
-
Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments
-
Detecting Functional Memorization in Code Language Models
-
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
-
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
-
MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction
-
FENCE: A Financial and Multimodal Jailbreak Detection Dataset
-
Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents
-
Iterative Visual Thinking: Teaching Vision-Language Models Spatial Self-Correction through Visual Feedback
-
DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
-
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
-
The Containment Gap: How Deployed Agentic AI Frameworks Fail Public-Facing Safety Requirements
-
Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
-
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
-
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
-
Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce
-
Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and Approach
-
WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning
-
OpenMedQ: Broad Open Pretraining for Medical Vision-Language Models
-
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
-
AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility
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Foresight: Iterative Reasoning About Clues that Matter for Navigation
-
Agents-K1: Towards Agent-native Knowledge Orchestration
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HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection
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LLM-Powered Personalized Glycemic Assessment in Type 2 Diabetes with Wearable Sensor Data
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Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids
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scLLM-DSC: LLM-Knowledge Enhanced Cross-Modal Deep Structural Clustering for Single-Cell RNA Sequencing
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Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities
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LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling
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Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm
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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
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PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt Injections
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WildIFEval: Instruction Following in the Wild
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Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization
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GeoNatureAgent Benchmark: Benchmarking LLM Agents for Environmental Geospatial Analysis Across Frontier and Open-Weight Foundation Models
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Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm
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KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty
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The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring
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ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
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GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM Reasoning
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Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It
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Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2
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ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval
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A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations
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N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization
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An Industrial-Scale Insurance LLM Achieving Verifiable Domain Mastery and Hallucination Control without Competence Trade-offs
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Calibrating Overconfidence Without Sacrificing Confidence: Probe-Conditioned Head Intervention for LLMs
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Quality Is Not a Safety Proxy Under Quantization
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Conservation Laws from Data Symmetry in Neural Networks
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When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice
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PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection
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Exploring the Design Space of Reward Backpropagation for Flow Matching
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POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET
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Task Robustness via Re-Labelling Vision-Action Robot Data
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Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
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Who Brought Easter Eggs to Eid? Auditing Cultural Translation of Math Word Problems Across Diverse Languages and Regions
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Does Reasoning Preserve Alignment? On the Trustworthiness of Large Reasoning Models
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Beyond APIs: Probing the Limits of MLLMs in Physical Tool Use
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Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents
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How can we assess human-agent interactions? Case studies in software agent design
-
PhantomBench: Benchmarking the Non-existential Threat of Language Models
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TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit
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RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning
-
Rotate2Think: Geometric Priming via Orthogonal Rotation to Improve Language Model Reasoning
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Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History
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When Attribution Patching Lies: Diagnosis and a Second-Order Correction
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IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts
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When RL Fails after SFT: Rejuvenating Model Plasticity for Robust SFT-to-RL Handoff
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3SPO: State-Score-Supervised Policy Optimization for LLM Agents
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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
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BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression
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ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing
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Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations
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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
-
ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
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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
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Learning Evidence Highlighting for Frozen LLMs
-
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
-
OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module Design
-
SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation
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Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation
-
RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning
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Overcoming Rank Collapse in Feedback Alignment
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Predicting Future Behaviors in Reasoning Models Enables Better Steering
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Deployment-Time Memorization in Foundation-Model Agents
-
STAGE-Claw: Automated State-based Agent Benchmarking for Realistic Scenarios
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What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents
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ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models
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The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans
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A History-Aware Visually Grounded Critic for Computer Use Agents
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LLM-Based Code Documentation Generation and Multi-Judge Evaluation
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Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans
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CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks
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EstRTL: Functional Estimation Guided RTL Code Generation
-
Towards Diverse Scientific Hypothesis Search with Large Language Models
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CleanPatrick: A Benchmark for Image Data Cleaning
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Fusing Satellite Imagery and Planimetric Maps for Cross-View Localization
-
Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching
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Blurry Window Attention
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Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining
-
GhazalBench: Evaluating LLM Understanding and Canonical Surface-Form Access in Persian Ghazals
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Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS
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Bellman-Taylor Score Decoding for Markov Decision Processes with State-Dependent Feasible Action Sets
-
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
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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
-
Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
-
Domain Adapted Large Language Models for Additive Manufacturing
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[AINews] FrontierCode: Benchmarking for Code Quality over Slop
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From `May' to `Is': Certainty Distortion in Language Model Rewriting
-
POISE: Position-Aware Undetectable Skill Injection on LLM Agents
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Neutrality Bites: Gender Representation in AI-Generated Animal Stories
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MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios
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What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
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SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
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AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
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Liberating LLM Capabilities in Full-Duplex Speech Models
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ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
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Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models
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LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)
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mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models
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Post-training is (Massive) Supervised Learning
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SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks
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Bridging Traditional Explainability Methods and Multimodal Multilingual Models: An XAI-Based Analysis
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MASS: Deep Research for Social Sciences with Memory-Augmented Social Simulation
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Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
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Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery
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ZIPP:Zero-shot Image Personalization from Personas
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FF-JEPA: Long-Horizon Planning in World Models with Latent Planners
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Capacity, Not Format: Rethinking Structured Reasoning Failures
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An Effective Router for Vision-Language Model Selection
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Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
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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
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Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
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Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
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How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions
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OmniMem: Perturbation-aware Memory Compression for Streaming Audio-Visual LLMs
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Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent Reasoning
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Observability for Delegated Execution in Agentic AI Systems
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Code Is More Than Text: Uncertainty Estimation for Code Generation
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Nonparametric LLM Evaluation from Preference Data
-
DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
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POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
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Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
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Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks
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Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
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Vision Language Model Helps Private Information De-Identification in Vision Data
-
Jas: AI-Paired Engineering as a Revival of N-Version Programming
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TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs
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Implicit Causal Graph Construction in Text via Chain Discovery
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CoVEBench: Can Video Editing Models Handle Complex Instructions?
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See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding
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LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-Training
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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
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LLM-Orchestrated Conformance Checking in Stroke Care Without Computer-Interpretable Guidelines
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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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Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
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Efficient Skill Grounding via Code Refactoring with Small Language Models
-
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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From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUs
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FunctionEvolve: Structure-Guided Symbolic Regression with LLMs
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Strained Coherence: A Pre-Failure Signal in Coding Agent Execution Trajectories
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A VideoMAE-v2 Approach to Zero-Shot Traffic Accident Anticipation
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When Vision Misleads, Let Location Speak: A Worldwide Image Geo-Localization Method via Location Attention Mechanism and Large Multimodal Models
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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
-
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
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Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration
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Visual Template Inference for Data Extraction from Documents
-
SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)
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FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning
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Activation Steering Induces Emergent Misalignment: A More Comprehensive Evaluation
-
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
-
Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Sound
-
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
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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
-
A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design
-
APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music
-
CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models
-
SpectrumKV: Per-Token Mixed-Precision KV Cache Transfer for Prefill-Decode Disaggregated LLM Serving
-
AttentionCap: Transformer Based Capacitance Matrix Learning Toward Full-Chip Extraction
-
The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context Injection
-
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
-
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
-
vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models
-
Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard
-
Explaining Data Mixing Scaling Laws
-
Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy
-
Contemporary AI lacks the imagination to diverge or negate in science
-
CRANE: Knowledge Editing for Reasoning MLLMs
-
Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting
-
Stage-1 Controls the Entropy Regime, Not the Outcome
-
SafeRun: Enabling Determinism in LLM Planning for Running
-
NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
-
Real-time body pose non-verbal communication with a consistency-based reliability measure
-
SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
-
FMplex: Model Virtualization for Serving Extensible Foundation Models
-
FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks
-
Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP
-
NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
-
ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning
-
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
-
Accelerating Reproducible Research in Synthetic EHR Generation
-
CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning
-
MalTree: Tracing Malware Evolution from Embeddings at Scale
-
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
-
OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios
-
Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems
-
Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision Transformers
-
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces
-
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
-
dots.tts Technical Report
-
GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection
-
CULTURESCORE: Evaluating Cultural Faithfulness in Video Generation Models
-
When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations
-
Should You Use Your Large Language Model to Explore or Exploit?
-
Database Normalization via Dual-LLM Self-Refinement
-
mmPISA-bench: Do LLMs Reason Equally Well Across 43 Languages?
-
MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights
-
SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices
-
An Expanded Synthetic Conversation Dataset for Multi-Turn Smishing Detection
-
Beyond Rubrics: Exploration-Guided Evaluation Skills for Reward Modeling
-
From Correctness to Utility: Gain-Based Prefix Evaluation for LLM Reasoning
-
Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese
-
HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG
-
Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMs
-
When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial Robustness
-
OpenGlass: Open-Source Smart Glasses for On-Device Event-Based Gesture Recognition
-
MacArena: Benchmarking Computer Use Agents on an Online macOS Environment
-
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
-
Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations
-
EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering
-
Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
-
MatterDoor: Sampling Zero-shot Spatio-semantic Priors using Generative Models
-
Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle
-
LLM Agent-Assisted Reverse Engineering with Quantitative Readability Metrics
-
SEAM: Shortcut-Aware Real-Time Detection of Scripted vs. Spontaneous Speech for Interview Guardrails
-
Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generation
-
ActionMap: Robot Policy Learning via Voxel Action Heatmap
-
Are Large Language Models Suitable for Graph Computation? Progress and Prospects
-
Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
-
RePo: Language Models with Context Re-Positioning
-
Improving Cross-Lingual Factual Recall via Consistency-Driven Reinforcement Learning
-
M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions
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PolarQuant: Leveraging Polar Transformation for Efficient Key Cache Quantization and Decoding Acceleration
-
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
-
Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
-
The Open Source Community is backing OpenEnv for Agentic RL
-
Her · हेर — a detective for your Claude Code sessions
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Persona Atlas: Mapping How Famous Minds Think
-
Epistemic Injustice in Language Models: An Audit of Pretraining Filters and Guardrails
-
LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
-
Designing the hf CLI as an agent-optimized way to work with the Hub
-
RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
-
OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
-
DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection
-
Interpreto: An Explainability Library for Transformers
-
FLARE: Diffusion for Hybrid Language Model
-
From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Model
-
Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
-
TajikNLP: An Open-Source Toolkit for Comprehensive Text Processing of Tajik (Cyrillic Script)
-
GPIC: A Giant Permissive Image Corpus for Visual Generation
-
Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset
-
Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via Consensus-Driven Preference Optimisation
-
A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
-
Soro: A Lightweight Foundation Model and Chatbot for Tajik
-
Knowledge Graphs as the Missing Data Layer for LLM-Based Industrial Asset Operations
-
PLAID: A Unified Data Model for Machine Learning on Heterogeneous Physics Simulations
-
Rank-Turbulence Delta and Interpretable Approaches to Stylometric Delta Metrics
-
Seeing vs. Believing: Evaluating the Language Bias of Open-Source MLLMs in Counter-Intuitive Scenes
-
Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL
-
MTLLFM: Multimodal-Temporal Laughter Localization: UR-FUNNY-Temporal and SMILE-Temporal Benchmarks with an Adaptive Multimodal Fusion Model
-
Beyond Final Answers: Auditing Trajectory-Level Hallucinations in Multi-Agent Industrial Workflows
-
The Model Parking Tax: Quantifying the Hidden Energy Cost of Always-On GPU Model Deployment
-
Toxicity in Twitch Chats: An LLM-Based Analysis Across Gaming Communities
-
Llamion Technical Report
-
Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation
-
A governance horizon for ethical-use constraints in open-weight AI models
-
DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving