Papers
Thu 27 Aug 2026
462 papers
- PartHackBench: Certified Equal-Progress Stress Tests for Partial-Credit Tool-Agent EvaluationLLM agents and tool use → Software engineering coding agents
- BananaVLM: A Domain-Adapted Vision Language Model for Banana Crop Disease DiagnosisMultimodal LLMs / vision-language models → Agricultural vision-language models
- Beyond Task Completion: Training Capable and Safe Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Contrastive World ModelsWorld models → Latent predictive world models
- LLM-Guided Reinforcement Learning for Adaptive NPC Behavior in Multi-Agent Combat GamesLLM agents and tool use → Reinforcement learning for LLM agents
- UI-Venus-2 Technical ReportLLM agents and tool use → GUI and mobile agents
- ReVA: A Region-Aware Visual Assistant for Visually Grounded Question AnsweringLLM reasoning → Multimodal reasoning +1
- TopoAgent: A Structure-Aware Perception-to-Reasoning Framework for Diagram-to-Graph Topology Extraction with Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAGLLM reasoning → Multimodal reasoning +1
- State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Instruction Distillation: Text Instructions as Visual ExamplesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- RoboGesture: Real-Time Semantic-aligned Co-Speech Gestures Generation for Humanoid InteractionDiffusion models → Audio, speech and music
- Fast Weight Attention for Continual LearningState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Load-Bearing Context: The Question Damage Score for Evaluating Context Reliance in Linguistic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Auto-Interpretability of AI Models in BiologyMechanistic interpretability → Interpreting biomedical and science models
- What Can Low Resource Languages Learn From Each Other?Multimodal LLMs / vision-language models → Document understanding and multimodal RAG
- The Calls are Coming from Inside the Model: Investigating Probe-based Detection of Tool-Calling Errors in LLMsLLM agents and tool use → Tool learning and function calling
- Below the Noise Floor: Bimodal Seed Collapse and Distinct Failure Modes in Small-Model Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Diffusion Distillation for Efficient Weather EnsemblesDiffusion models → Flow matching, time series and science
- SegBench-GC: Testing Segmentation Invariance in Multi-Step Offline Goal-Conditioned Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Agents for Everyone: A Workshop Framework for Building Agentic AI Capabilities in a Distributed Curation CommunityLLM agents and tool use → Web, search, and research agents
- First Make It Playable, Then Make It Good: Staged Interaction Learning for Small Dialogue-Game AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Semantic Watermarking with Order-Robust Detection over Sub-sentence UnitsLLM safety and security → Watermarking generated content and models
- Knowing Before Answering: Decoding Language Models for Reliable RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- If Agents Were Angels, No Governance Would Be Necessary: Out-of-Band Policy Enforcement at a Trusted Tool BoundaryLLM safety and security → Prompt injection and agent security
- PHR-VLA: Planning Horizon Reasoning for Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- LongGuard: Mechanistic Analysis and Training-Free Mitigation of Long-Context Failure in Safety GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action ModelsVision-language-action models → Human-video and latent-action pretraining
- Code as Worlds: Agentic Discovery of Executable World Representations for Physical ReasoningLLM reasoning → Spatial and embodied reasoning +2
- Nemotron 3.5 Content Safety Moderator: A Compact Multimodal, Multilingual, and Reasoning Enabled Content Safety ModeratorLLM safety and security → Vision-language and text-to-image safety
- Fully Unleashing the Multimodal Attacker: Meta-Adaptive Jailbreaking of Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SETU: An Agentic Ecosystem for Multilingual, Persona-Aware Communication CoachingLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Deeper Analysis of Block-Sparse FeaturizersMechanistic interpretability → Sparse autoencoder training and evaluation
- Trajectory-Level Speculative Decoding for Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- DAMP: Decay-Aware Mixed-Precision Recurrent-State QuantizationEfficient LLM inference and serving → KV cache quantization
- Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment GapLLM safety and security → Backdoor and data poisoning attacks
- How Do Linear Probes Emerge? A Circuit-Tracing Framework with Concept-Targeted AttributionMechanistic interpretability → Circuits and mechanistic analysis
- WM-R1: Training GUI Agents to Reason and leverage World Models with Reinforcement LearningWorld models → World model security and GUI agents +2
- Marginal Coverage Credit Reduces Redundant Exploration in Parallel State-Entropy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Thinking Costs Tokens: When More Structure is Worth the PriceLLM reasoning → Test-time compute and efficient thinking
- A Survey on Rubric-Guided Reinforcement Learning for Language ModelsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Circuit Discovery Helps Detect LLM Jailbreaking: A Mechanistic Interpretability StudyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- INSPIRE: An Internalize-Then-Improve Approach for Example-Driven Mathematical ReasoningLLM reasoning → Mathematical reasoning
- ROPE: Routed Origin Policy Enforcement against Indirect Prompt InjectionLLM agents and tool use → Agent threats, guardrails and governance +1
- UrbanGround: From Local Perception to Spatial Agency in a Real-Scale CityMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure ModesLLM reasoning → Test-time compute and efficient thinking
- TTPO: Test-Time Policy OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?LLM agents and tool use → Agent threats, guardrails and governance
- RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill EvolutionLLM agents and tool use → Agent threats, guardrails and governance +1
- Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution AuditLLM agents and tool use → Agent threats, guardrails and governance
- Boosting LLM Exploration via Weak-Model Guidance in RLVRLLM reasoning → Reinforcement learning for reasoning
- Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual InformationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical SimulatorsWorld models → Embodied and robot world models
- Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust PredictionMechanistic interpretability → Interpreting biomedical and science models
- FlashVLA: Streaming Action Decoding for Fast and Asynchronous VLA InferenceVision-language-action models → Efficient VLA inference and adaptation
- Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World ModelsWorld models → Latent predictive world models
- Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPOLLM reasoning → Reinforcement learning for reasoning
- INTENT-AS-A-TOOL Makes it Easy to Track Agentic MisalignmentLLM agents and tool use → Agent threats, guardrails and governance
- PAWBench: How Far Are We from Probabilistically Aligned World Modeling?World models → Video-generation world models and simulators
- One Model, Many Minds: Unlocking Multi-Agent Synergy in a Single Agent via Mixture of RolesLLM agents and tool use → General LLM agent frameworks and benchmarks
- BTS-AgentBench: A Deterministic, Replayable Pipeline from Read-Only Telemetry Logs to Agent BenchmarksLLM agents and tool use → Software engineering coding agents
- R2M-Bench: Evaluating Revisit Memory via Relative Consistency in Interactive Video World ModelsWorld models → Video-generation world models and simulators
- Verify Smarter, Evolve Further: Efficient Harness Evolution through Behavior-Aware VerificationLLM agents and tool use → Software engineering coding agents
- Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI SystemsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Naive Prompt Optimization: Rethinking the Need for Complex Prompt SearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- SCIT: Testing Causal Cache Carriers in Latent Chain-of-Thought ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Making Latent Evolution Explicit: Operator-Structured Transitions for World Action ModelsWorld models → Embodied and robot world models
- Circuit Condensation: Post-Training that Concentrates a Behavior's Causal CircuitMechanistic interpretability → Circuits and mechanistic analysis
- SPA: Securing Persistent LLM Agents Across Queries with Plan-First Information-Flow ControlLLM agents and tool use → Agent threats, guardrails and governance
- STEP: State-Aware Task Estimation and Planning with Multi-Modal LLMs for Human-Robot CollaborationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health SensingLLM agents and tool use → Medical and scientific domain agents
- PACE: A Unified Condense-and-Extract Paradigm for Fast VLM InferenceLLM reasoning → Multimodal reasoning +1
- Knowledge Distillation Driven Semantic NOMA with GAN Refinement for 6G Robotic Vehicle NetworksKnowledge distillation → General knowledge distillation methods
- TraceBench: Controlled Evaluation of LLM Agents for Time-Series Root-Cause AttributionLLM agents and tool use → Software engineering coding agents
- When Text Misleads: Inconsistent-Aware Reasoning for Audio-Grounded DialogueLLM reasoning → Audio-language model reasoning
- X-WAD: eXplainable Web Anomaly DetectionLLM safety and security → Backdoor and data poisoning attacks
- STAR : Sentence Translation Alignment Rate for Document-to-Document Machine TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Diffusion Policies for Short-Horizon Planning in Robot Crowd NavigationDiffusion models → Diffusion and flow policies for robotics
- ReViCo: Unveiling the Limitations of VLMs in Visual Text Understanding via Error CorrectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AgentDV: Closed-Loop Agentic AI for Hardware Design VerificationLLM agents and tool use → Software engineering coding agents
- When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RLLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Safety Does Not Compose: Non-Decaying Loop State for Autonomous LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Small Frequency Corrections Can Change What Survives KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- TransMeme: A Multi-Agent Framework for Cross-Cultural Meme TranscreationLLM agents and tool use → General LLM agent frameworks and benchmarks
- pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology LearningRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- The Framing Gap: Indirect Prompt-Injection Exfiltration Defeats Surface-Level Defenses in Tool-Using AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- A Contract-Centered Architecture for Scalable and Manageable Agentic RuntimesLLM agents and tool use → Software engineering coding agents
- GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot ManipulationVision-language-action models → Reinforcement learning and post-training
- SpatialCrafter: Single Image World Modeling with Generative 3D ProxiesWorld models → Video-generation world models and simulators
- Emotional Preferences as Goal-Priority RegulationDeep reinforcement learning methods → RL training of language and agent models
- Video-OPSD: Exploiting Privileged Visual Evidence for On-Policy Self-Distillation in Video Large Language ModelsKnowledge distillation → Multimodal distillation
- Performance Foundations of Parallel & Distributed Reasoning Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Reasoning about In-Context Samples for Machine-TranslationLLM reasoning → Reasoning benchmarks and evaluation
- Riemann-1.0: An Embodied World Action Model for Physical AIWorld models → Embodied and robot world models
- Disentangling Optimization Scale from Preference Scale in DPOLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FaulT-Bench: Towards Benchmarking Network Troubleshooting LLM Agents under Unreliable User TicketsLLM agents and tool use → Software engineering coding agents
- The Guard That Cried Wolf: How Scary Words Make Agent Guardrails Refuse Legitimate ActionsLLM agents and tool use → Agent threats, guardrails and governance +1
- MVC-Bench: Benchmarking Calibration of Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
All 462
- Aphanta: Diagnosing Task-Aligned Image-Edited Intermediates for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock ResearchLLM agents and tool use → Financial trading and forecasting agents
- GraphMemix: Query-Aware Evidence Forests for Long-Term Multimodal Agent MemoryLLM agents and tool use → Agent memory systems
- TempJail: Temporal Jailbreak Attacks against Image-to-Video Generation ModelsLLM safety and security → Vision-language and text-to-image safety
- Gromov-Monge Flow Matching for Equivariant Graph GenerationDiffusion models → Flow matching, time series and science
- Scaling Model-Generated Distillation Data Can Make Latent Teacher Traits More RecoverableSynthetic data and self-improvement for LLMs → LLM synthetic data generation +1
- RubricRM: Generative Reward Modeling via Dynamic Rubrics for Image Generation and EditingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- From Atomic to Agentic: Towards Interpretable Evaluation of LLMs' Agentic Mathematical CapabilitiesLLM reasoning → Reasoning for agents, planning and code +1
- Climate Physics Dynamic MatchingDiffusion models → Flow matching, time series and science
- When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender SystemsLLM agents and tool use → Agentic recommender systems
- Self-OPD: On-Policy Distillation for Flow Matching Models without TeacherDiffusion models → Diffusion and flow policies for robotics +1
- C-Unseen: Weak Signal Detection in Dynamic Temporal Knowledge Graphs via LLM ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- BekchiAI: Measuring, Observing, and Controlling LLM Agents in One ClickLLM agents and tool use → Agent threats, guardrails and governance
- Order Matters: A Chinese Multi-Panel Meme Benchmark for Vision-Language ReasoningLLM reasoning → Multimodal reasoning
- FIDA: Feature Instability-Driven Attack on Self-Supervised Facial RepresentationLLM safety and security → Backdoor and data poisoning attacks
- Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed TrafficDeep reinforcement learning methods → RL for autonomous driving and traffic
- From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and SegmentationLLM reasoning → Clinical and biomedical applications +1
- Towards Safe Reinforcement Learning with Reduced Conservativeness: A Case Study on Drone Flight ControlDeep reinforcement learning methods → Safe and constrained RL
- LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream EcosystemsLLM agents and tool use → Social simulation and multi-agent debate
- MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical VQAMultimodal LLMs / vision-language models → Medical vision-language models
- Evaluating Confidence-Gated Retrieval with Matched Trajectory ReplayLLM agents and tool use → General LLM agent frameworks and benchmarks
- SymbolLKG: Towards Verifiable Logical Reasoning via Logical Knowledge Graph and Symbolic SolversLLM reasoning → Reasoning benchmarks and evaluation
- RuleWeaver: Benchmarking Rule-Centered Scenario Reasoning for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- TemporalFlow-VLA: Learning Physically Grounded Execution History for Long-Horizon Robot ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- LLaVAFlow: Preserving Latent Alignment Flow for Parameter-Efficient Multimodal Fine-TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Hyperspectral Diffusion Equivariant Imaging (HyDiff-EI): A Self-supervised Framework for Hyperspectral Image InpaintingDiffusion models → Inverse problems and image restoration
- Thinking on Shots: Consistent Multi-Shot Video Editing with Agentic ReasoningLLM reasoning → Multimodal reasoning +1
- Multi-Image Visual Token Pruning in Large Visual Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video DiffusionDiffusion models → Video generation
- Decoupling Planning and Control for Instructable AgentsWorld models → Embodied and robot world models +2
- Self-Reflective Multi-modal Reasoning for Short-Video Fake News DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AI Control Scientist: LLM-driven Agentic System for Automated Control DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- Instruction Quality Matters: Refining Instructions for Effective Preference LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Cross-Architecture Knowledge Distillation from a Vision Foundation Model to a Lightweight Visual State Space Model for Tea Leaf Disease ClassificationKnowledge distillation → Detection and dense prediction distillation
- MeshPriorDiT: Hierarchical Modeling for Action-Conditioned Cloth DynamicsDiffusion models → 3D, point cloud and scene generation
- Beyond Execution: Auditing Experimental Fidelity in LLM-Driven Scientific ResearchLLM agents and tool use → Web, search, and research agents
- Self-Augmented Diffusion Guidance for Physics-Informed GenerationDiffusion models → Flow matching, time series and science
- AgentFold: Closed-Loop Agentic Search for Protein Folding Model DesignLLM agents and tool use → Medical and scientific domain agents
- G2D: Generative-to-Discriminative Collaborative Inference for Zero-Shot Image ClassificationLLM reasoning → Multimodal reasoning +1
- Graph-Guided Selective Unlearning for Language Models: Controlling Support Routes Beyond Forget SeedsLLM safety and security → Machine unlearning
- Residual Deep Reinforcement Learning-Based Computed Torque Control for a Cable-Driven Lower-Limb Rehabilitation Robot under Disturbances and Parametric UncertaintiesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Generative Semantic Scene CompletionDiffusion models → 3D, point cloud and scene generation
- Recovering General Capabilities via Uncertainty-Calibrated Multi-Teacher On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Rethinking Message Passing as Retrieval for Text-Attributed Graph LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- UniGeo: A Multi-modal Large Language Model for Text-Guided Cross-View Geo-LocalizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Beyond Atomic Layouts: Compositional Design Understanding with Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- LiveVVT: High-Fidelity Video Virtual Try-On in Real TimeDiffusion models → 3D, point cloud and scene generation
- AesCanvas: A Large-Scale Dataset and Benchmark for Aesthetic Critique and Contextual SuitabilityMultimodal LLMs / vision-language models → Image editing and quality assessment
- Towards Expert Financial QA via Self-Improving RAGRetrieval-augmented generation → Legal and financial RAG
- Reason in the Words You Speak: Idiolectal Paraphrasing Off-Policy Traces for Reasoning Distillation in VideoLLMsLLM reasoning → Reinforcement learning for reasoning +1
- Do LLMs Understand Personality? Rethinking Persona Fidelity Evaluation through Structured Behavioral InferenceLLM reasoning → Reasoning benchmarks and evaluation
- PredVLA: Predictive Sensorimotor Modeling for Sub-Million-Parameter Robot ManipulationVision-language-action models → World model-based VLA
- Simple Actors and Deep Critics for Scalable Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +2
- Meta-Learning Where to Allocate Experts: Task-Conditioned Layer-Wise Compression for MoEsMixture-of-experts → Expert routing strategies
- FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic ManipulationVision-language-action models → Failure recovery and robustness
- Information-Guided Frontier Decoding: Contextual Utility-Driven Commitment in dMLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-CallingLLM agents and tool use → Tool learning and function calling
- FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- hoBIT: A Profile-Aware Retrieval-Augmented Chatbot for University Academic AdvisingRetrieval-augmented generation → Agentic RAG, agents and memory
- Not Just Reason, Not Just Scan: Reinforcement Learning for Proactive Scientific Error Verification over Academic PaperLLM reasoning → Knowledge- and tool-augmented reasoning +2
- SimCast-S2S: A Computationally Efficient Diffusion Model for Subseasonal Precipitation ForecastingDiffusion models → Flow matching, time series and science
- Surgical Alignment in Knowledge Graph Training for Clinical Diagnosis with Large Language ModelsLLM reasoning → Clinical and biomedical applications
- VGAS: Variance-Reduced Guidance and Adaptive Selection for Training-Free Reward Alignment in Discrete DiffusionDiffusion models → Flow matching, time series and science
- Activation Outliers Matter: Robust Recovery for Quantized Multimodal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Visual Information-Guided Parallel Decoding for Diffusion Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Preference Flow Matching with Spectral Factorization for Micro-video RecommendationDiffusion models → Diffusion recommenders
- TrapVLA: Trapping Vision-Language-Action Models in Configured Failure ModesVision-language-action models → Failure recovery and robustness +1
- Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure SignalsDeep reinforcement learning methods → Safe and constrained RL
- SPT: Skills as Pre-Training Data for Agentic Language ModelsLLM agents and tool use → Agent skill learning and evolution
- DeepRepro: State-Aware Subplanning for Paper-to-Code Reproduction in Evolving RepositoriesLLM agents and tool use → Software engineering coding agents
- SPEAR: Distilling Domain-Adaptive Reasoning Skeletons via Sequential Symbolic Alignment in Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +2
- DuMateBench: Evaluating Autonomous Agents in Complex Real-World WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Chart2SVG: Editable SVG Generation from Raster Chart ImagesMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- A Single Suffix to Break Them All: Basin-Aware Jailbreaks for Merged Model FamiliesLLM safety and security → Jailbreaking
- Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Zero-Shot Video Restoration and Enhancement with Text-to-Image Latent Diffusion Models and Multi-Modal ReferencesDiffusion models → Inverse problems and image restoration
- Active Client Selection in Federated Trajectory Prediction with Uncertainty-Awareness and Heterogeneous Complexity
- PEEL: Physics-Enabled Evidential Learning for Identifiable Uncertainty in CT Imaging
- A Computational Framework for Modelling Organisation-Level Semantic Identity from Longitudinal Textual Data
- When Identical Rows Disagree: From Benchmark Identifiability to Replication-Robust Anomaly Detection
- The Recall Ceiling of LLM Recommendation Reranking
- CleanScore: Black-Box Benchmark Audits with Negative Controls and Sensitivity Bounds
- Gaussian Process Decorrelation for Spatiotemporal Deep Learning-Based Snow Water Equivalent Prediction
- Interpretable Stress Detection from ECG Signals Using Motif-Based Anomaly Analysis
- OpenBlock: Constructive and Verified Content Generation for Adaptive Tile-Matching Games
- SCoR: A Hierarchical Framework for Forecasting Relations Between Scientific Concepts
- Industrial Kinematic Trajectory Model (IKTM): Coordinate-Free Autoregressive Generator
- Stagewise Anomaly Detection for E-Transaxle Quality Monitoring Using Wavelet and STFT Features
- Advantage Scale Calibration Imbalance in Group-Relative Optimization under Low-Variance Rewards: Diagnosis and Bounded Recovery
- Topic Matching in the Wild: Benchmark and Lessons from Real-World ASR Transcripts
- The Curse of Multilinguality in Lexical Normalization
- Enhancing MRI Brain Tumor Edge Detection: A Hybrid Preprocessing Approach Utilizing CLAHE
- STEP: A Modular Silent Trial Engine for Operational Evaluation of Digital Pathology AI in Routine Workflow
- Variable-Granularity Tokenization for High-Resolution Object Detection
- Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracy
- ORDDAR: Observation-Driven Reasoning for Distortion-Resilient Decision, Action, and Cognitive Recovery
- Stochastic Liquid Deformation Fields: An SDE Generalisation of Closed-Form Continuous-Time Cells for Dynamic 3D Gaussian Splatting
- Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching
- SNF-Bench: Separating Static Drift from Natural Flow in Long-Horizon Fixed-Camera Video Generation
- Growing a Stand, Not a Tree: Joint Canopy Generation Reproduces Crown Shyness
- Compositional Failure in Audio-Visual LLMs: Late-Layer Prior Dominance Under Cross-modal Conflict
- SURE-Voice: A Front-End Baseline for Speech-Evidence Filtering in Speech LLMs
- Memorization Is Not Extraction: Tight Differential-Privacy Bounds and Audit Blind Spots
- Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality
- Why Didn't It Check? Unsupported Final Claims and Their Repair in Two Tool-Equipped Language Models
- Informational Antilocality and the Locality Bias in LLMs
- Beyond Search-Imitation: Prior-Directed Exploration for Searchless Chess
- The role of parameter Jacobians in the stability of network outputs
- ABCD: Alpha-Composited Block Coordinate Descent: Constant-VRAM Training for Large Radiance Fields
- Probing Perceptual Priors of MLLMs via Gibbs Sampling with Interpretable Generative Controls
- Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease
- PCFBench: A Diagnostic Benchmark for Product Carbon Footprint Estimation
- Beyond Non-IID: Learner--Client Distribution Mismatch in Federated Learning
- DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge
- On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method
- RiskBlend: A Multi-Signal Framework for Test Input Prioritization in Machine Learning Regression Testing
- Evaluating Loss Functions in Differentiable Out-of-Domain Sound-Matching with Partial Parameter Distance
- CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
- SafeStep: An Interactive Demonstration of Semantic Communication for Pedestrian Safety Monitoring
- A Framework for Object-Centric Predictive Monitoring of Collaborative Processes
- Report Supervision
- Unsupervised Continual Learning with Growing Self-Organizing Maps and Synthetic Replay
- When Tokenizers Fail: Byte-Level Chunking for Zero-Shot Transfer to Low-Resource Languages
- More Data Cannot Break a Symmetry: Identifiability by Design
- Generative AI Expands the Intellectual Reach of Course Based Undergraduate Research Experiences (CUREs)
- Curvature-Aware Radius Shrinkage for Adaptive Nearest Neighbor Classification
- Depth-Aware Pothole Detection Using YOLO and RT-DETR at the Edge
- LitCurate: A Configuration-Driven AI-Assisted Framework for Scientific Database Construction with an Application to Lower-Mantle Equation-of-State Data
- Quantum SEDONet: Spectrally-Embedded Quantum Deep Operator Networks for Partial Differential Equations
- Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates
- ShiftSplit-AD: Separating Domain Shift from Defects in Foundation-Feature Visual Anomaly Detection
- Robust model-based clustering via mixtures of multivariate pseudo-Voigt distributions
- Physics-informed learning for the inverse problem in resonant ultrasound spectroscopy
- Quanta Perception as Probabilistic Events
- Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study
- Self-Explainable Multi-Label Graph Neural Network for Correlated Evidence Attribution
- VidParse: Online Parsing of Egocentric Procedures Like a Pro
- Towards a mathematical theory of superposition
- Ab initio Modeling of MoS2/Oxide Device Interfaces with Machine Learned Electronic Structures
- Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction
- FVeinSyn: Synthetic Finger Vein Image Generator
- Dandelion: A Spherical Flower for Neural Simulation of Planetary Dynamics
- When Muon Meets Task Interference: A Spectral Perspective on Continual Learning and Model Merging
- Destroy Me: Automatic Artifact Generation for Histopathology Images
- Image Augmentation as Test Generation for Deep Learning-Based Image Retrieval Systems
- Optimal Transport for Network Comparison: A Unified Review with New Spectral Bounds and Machine Learning Applications
- WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
- SWE-Prime: Fewer Trajectories, Better Performance
- From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
- Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
- Stochastic Estimation of Transduced Language Models
- Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
- Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
- Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling
- Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms
- Reconstructing Humans and Objects in Interaction using Large Reconstruction Models
- How Language Models Organize and Structure Moral Knowledge
- LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
- RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature
- Property-Specific Recoverability from Contact PPG to Camera rPPG under Heterogeneous Observation Conditions
- CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
- Token-Level Advertising
- D2C-Routing: Dimension-to-Composition Evidence Routing for Mixed-Origin AI-Generated Text Detection
- Universality and sharp thresholds for ellipsoid fitting
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