Papers
Tue 6 Oct 2026
657 papers
- Teaching a Robot Dog New Tricks: Diverse Quadruped Skills via Combined Reinforcement and Imitation Learning with Adversarial Task SelectionOffline RL and imitation learning from data → Real-world robot offline RL
- Coverage, Not Difficulty, Sets How Much Synthetic Data an Activation Probe NeedsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- A Survey on LLM-Integrated Hardware Design VerificationLLM agents and tool use → Software engineering coding agents
- Co-Evolving Robot Orchestrators and Policies through DeploymentVision-language-action models → Reinforcement learning and post-training
- Consistent Distribution Matching for Data-Free Diffusion DistillationDiffusion models → Diffusion foundations and sampling
- CM-DPO: Constraint-Margin Direct Preference Optimization for LLM PlanningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Multi-Objective Aligned Small Language Model Framework for SUD Patient Dialogue GenerationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Few Bits, One Law: Toward W2A4KV2Efficient LLM inference and serving → KV cache quantization
- FreeEvolve: Learning to Evolve Beyond Fixed LoopsLLM agents and tool use → Reinforcement learning for LLM agents
- Patient, Place, Prior (P3): What Counts as Personalization in Medical World Models?World models → Medical and surgical world models
- The Dichotomy Between Pattern Recognition and Step-by-Step ReasoningLLM reasoning → Test-time compute and efficient thinking
- One Frame, Full Heartbeat: ECG-Free 4D Cardiac Cine MRI Synthesis via Radial-Decomposed Flow MatchingDiffusion models → Medical imaging and segmentation
- Beyond Reconstruction: What Matters in Action Tokenization for Robot Policies?Vision-language-action models → Failure recovery and robustness
- Lower Bounds for Parallel Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- SpecGuard: Proving a Task Is Broken Before the Agent CheatsLLM agents and tool use → Agent threats, guardrails and governance
- Frozen Models, Evolving Expertise: Model-Agnostic Learning from Deployment Experience for Multimodal Medical AIMultimodal LLMs / vision-language models → Medical vision-language models
- Noise Your Prompt: Noising Conditioning Tokens in Continuous Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- DIVA: Dual-Space Intent-Aware Visual Attenuation for Vision-Language-Action PoliciesVision-language-action models → VLA architectures and generalization
- SwarmReconGuard: Black-Box Detection of Distributed Collective Reconnaissance by Individually Benign-Looking Agent PopulationsLLM agents and tool use → Agent threats, guardrails and governance
- World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World ModelsWorld models → World model security and GUI agents
- Domain-informed Adaptive Sampling for Generalizable PINNs in Metal Additive Manufacturing via Conditional Flow MatchingDiffusion models → Flow matching, time series and science
- From Uncertainty to Action: Learning to Steer LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- GeoNatureAgent (GNA): A Framework and Benchmark for Pre-Production Evaluation of Tool-Using Agents on Geospatial and Environmental TasksLLM agents and tool use → Software engineering coding agents
- RippleCP: Measuring Counterfactual Checkpoint Advantage in Coding AgentsLLM agents and tool use → Software engineering coding agents
- Large-scale Repository Engineering via Agent-Native Reusable Code PrimitivesLLM agents and tool use → Software engineering coding agents
- DISRQAD: Diffusion Image Super-Resolution Quality Assessment Dataset and BenchmarkDiffusion models → Inverse problems and image restoration
- TAP: Efficient Long-Horizon Agent Pruning via Trajectory-Anchored RecoveryLLM agents and tool use → Reinforcement learning for LLM agents
- A Self-Pruning Transformer: Extreme KV-Cache Compression with Universal AttentionEfficient LLM inference and serving → KV cache optimization
- Towards Financial World ModelingWorld models → Latent predictive world models
- Learning Transition Kernels of Jump-Diffusion Processes with Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Quad-State Safety Evaluation of Open-Weight Large Language Models on Non-Canonical InputsLLM safety and security → Safety alignment, refusal and guardrails
- BEACON-SP: Ontology-Grounded GraphRAG Framework for Clinical Suicide Risk AssessmentRetrieval-augmented generation → Medical and biomedical RAG
- SPIN: Shadow Predictive Indexer for Sparse AttentionEfficient LLM inference and serving → KV cache optimization
- Not Every Call Needs a Frontier Model: Per-Call-Site Evaluation of Small Language Models in a Deployed Agentic Home-Automation SystemLLM agents and tool use → General LLM agent frameworks and benchmarks
- PAIR: Bridging Perception and Action in Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization
- Personalize at Test Time: Learning User Preferences for Image GenerationDiffusion models → Image generation, text-to-image and editing +1
- Enabling Dynamic Computation in Looped LMsEfficient LLM inference and serving → KV cache optimization
- Whose Memory Is It? Scope-Aware Commit Rules for Long-Term LLM MemoryLLM agents and tool use → Agent memory systems
- Algorithmic Scratchpads and Curriculum Staging for Arithmetic Reasoning in Tiny TransformersLLM reasoning → Mathematical reasoning +1
- How Fragile Is On-Device Language Model Safety? Localizing Safety-Critical Parameters for Sparse Fault AnalysisLLM agents and tool use → Agent threats, guardrails and governance
- Verify Less, Evolve More: Training Idea-Level Critics for Verification-Efficient ML Evolving AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RLOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- SNR-Gated LSTM-Conditioned Diffusion Model for MIMO Channel EstimationDiffusion models → Diffusion for compression and wireless
- Humanity's Sixth Sense: Benchmarking Intuitive Visual Reasoning in Multimodal ModelsLLM reasoning → Multimodal reasoning
- Directed Temporal Representations for Offline Visual ControlWorld models → Latent predictive world models
- GraphOPD: Graph-Augmented On-Policy Distillation for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- RACER: Reflective Agent Coupling Query Interpretation and Tool-Based Retrieval for Frame Selection in Long Video UnderstandingLLM agents and tool use → Multimodal and embodied agents
- SPW-Nav: A Streaming Panoramic World Model for Language-Guided NavigationWorld models → Video-generation world models and simulators
- Multi-Aspect Runtime Verification for Simulation-Based V&V of LLM-Enabled Autonomous AgentsLLM agents and tool use → Agent threats, guardrails and governance
- AdaGuard: Enhancing Safety and Policy Compliance with Reasoning-Enabled LLM-As-A-Judge GuardrailsLLM reasoning → Reasoning for agents, planning and code +1
- CARE: Certifying Acceleration for Vision-Language-Action InferenceVision-language-action models → Failure recovery and robustness
- Sequential Probabilistic Uncertainty Estimation for Parallel Multi-Agent Reasoning SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Humanize: Judgement Engineering for Agentic CodingLLM agents and tool use → Software engineering coding agents
- An Empirical Study of Agent Skills' Downstream UtilityLLM agents and tool use → Agent skill learning and evolution
- CredLeakBench: Evaluating Credential Leakage and Recovery in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- World Models' Last Exam in PhysicsWorld models → Latent predictive world models
- 4D-HOF: Hand-Object Flow Matching for Feed-Forward 4D Interaction ReconstructionDiffusion models → 3D, point cloud and scene generation
- DepthWorld: 3D World Model for Robot ManipulationWorld models → Embodied and robot world models
- CtrlCache: Accelerating Interactive Video World Models with Control-Aware CachingWorld models → Video-generation world models and simulators
- Agent in a Bottle: Can LLM Agents Turn Their Capabilities Into Cheap, Scalable Artifacts?LLM agents and tool use → General LLM agent frameworks and benchmarks
- AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World ModelWorld models → World model security and GUI agents +2
- Backend-Agnostic Sparse Attention for Fast High-Resolution Visual GenerationDiffusion models → Video generation
- WorldSonus: Bringing Sound to WorldsWorld models → Video-generation world models and simulators
- Denoising Hierarchical Representations: Joint Continuous Diffusion for Language ModelingDiffusion models → Discrete and text diffusion
- WorldSolver: Can LLM Agents Simulate the Physical Dynamics via Solver Generation?LLM agents and tool use → Multimodal and embodied agents
- Co-Evolving Paths and Flows via Path-Flow AlignmentDiffusion models → Flow matching, time series and science
- Disentangling Paradigm, Identifier, and Decoding in Generative RetrievalDiffusion models → Discrete and text diffusion
- SpaTime: Streaming Vision-Language Models for Spatio-temporal ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Local Content-Style Control for Diffusion-based Image StylizationDiffusion models → Image generation, text-to-image and editing
- ScienceClaw: Benchmarking Continual Self-Evolution of AI-for-Science Agents Across the Natural and Social SciencesLLM agents and tool use → Software engineering coding agents
- A Systematic Study of Small Language Models on Abstract Reasoning TasksLLM reasoning → Test-time compute and efficient thinking
- Secure Speculative Decoding for Large Language ModelsEfficient LLM inference and serving → Speculative decoding +1
- EC-RAG: Event Chain Retrieval-Augmented Generation for Long Video UnderstandingRetrieval-augmented generation → Multimodal RAG
- Semantic Behavioral Watermarking: Paraphrase-Robust and Forgery-Resistant Provenance for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- ParanoiaEval: Benchmarking Unnecessary Defensive Work in Agentic CodingLLM agents and tool use → Software engineering coding agents
- Evidence-Bound Reasoning: Neuro-Semantic Verification of Biomedical AI in Glioblastoma RadiogenomicsLLM reasoning → Clinical and biomedical applications
- Selective Transfer of RL Updates for Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Steering Diffusion Models to Rare Events with Sequential Monte CarloDiffusion models → Flow matching, time series and science
- A Case Study in Assuring AI-Written SoftwareLLM agents and tool use → Software engineering coding agents
- Fast Non-Parametric Heteroscedastic Imitation Learning With Geometric PriorsOffline RL and imitation learning from data → Robot manipulation imitation learning
- SquidAgent: Parallelize Wisely, Coordinate EfficientlyLLM agents and tool use → Software engineering coding agents
- RIWANav: Recursive World-Action Models with Self-Improvement for Urban NavigationWorld models → Latent dynamics models and model-based RL
- Towards In-Parameter Memory Augmentation for Large Language ModelsLLM agents and tool use → Agent memory systems
- Parallel Predictive World Models for Accurate and Efficient Long-Horizon PlanningWorld models → Latent predictive world models
- Feature Information Dynamics in DiffusionDiffusion models → Diffusion foundations and sampling
- Agentic RCA for Internet-Scale Services Using Constrained CreativityLLM agents and tool use → Software engineering coding agents
- LiDAR Resolution Recovery via Foundation-Model-Guided DiffusionDiffusion models → Inverse problems and image restoration
- MINDSET: Energy-based Schema Evolution for Long Conversational Agent MemoryLLM agents and tool use → Agent memory systems
- Large language models are vulnerable to incidental information in clinical documentation and reasoningLLM reasoning → Clinical and biomedical applications
- How Learning Governs Unlearning across the Memorization-Generalization SpectrumLLM safety and security → Machine unlearning
- RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG SystemsRetrieval-augmented generation → Privacy and security of RAG
- Adaptive Power Sampling for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Reinforcement Learning for Hierarchical Reasoning Rewards: Minimax-Optimal Rates with TransformersLLM reasoning → Reinforcement learning for reasoning +1
- Toward Alignment Scaling Laws: A Framework and First Preregistered MeasurementsLLM safety and security → Safety alignment, refusal and guardrails
- FlowCF: Sparse Counterfactual Explanations for Mixed-Type Tabular Data using Flow MatchingDiffusion models → Flow matching, time series and science
- MedCORE: Criteria-Grounded Clinical Reasoning for Interpretable Medical Image DiagnosisLLM reasoning → Clinical and biomedical applications
- WareFly-VLA: A Vision-Language-Action Framework for UAV Navigation and Human Tracking in Smart WarehousesVision-language-action models → Aerial and drone VLA
- 2D Spatial Reasoning with Adaptive Neural Cellular AutomataLLM reasoning → Spatial and embodied reasoning
- How Much Evidence Should a Coding Agent's Self-Correction Carry? Adaptive Dirichlet Evidence for Self-DistillationLLM agents and tool use → Agent memory systems
All 657
- Wiki-Talkie: Multilingual Benchmarking of Persona-Based Agents on Real-World DiscussionsLLM agents and tool use → Social simulation and multi-agent debate
- Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal TransformationDiffusion models → Flow matching, time series and science
- Knee3DVLM: Dual-Sequence Full-Volume Vision-Language Modeling for Comprehensive Knee MRI AssessmentMultimodal LLMs / vision-language models → Medical vision-language models
- A Belief-State World Model for Catheter Navigation under Sparse Fluoroscopy: A Planar Proof of ConceptWorld models → Medical and surgical world models
- Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital TwinsWorld models → Medical and surgical world models
- UNREAL: Unifying Retrieval and Long-Context with a Single ModelRetrieval-augmented generation → Generation and context integration
- Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven AgentsLLM reasoning → Knowledge- and tool-augmented reasoning +2
- AssemState: Manual and Physical-State-Guided Reasoning for Zero-shot Furniture AssemblyLLM reasoning → Spatial and embodied reasoning +1
- ActTune: Action-Aware Precision and GPU Operating-Point Adaptation for Energy-Efficient Vision-Language-Action InferenceVision-language-action models → Efficient VLA inference and adaptation
- NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter ScaleLLM agents and tool use → Reinforcement learning for LLM agents
- MIM-VLA: Learning Physical Interaction Representations from Gripper Motor FeedbackVision-language-action models → Tactile, force-aware and humanoid VLA
- VETTA: Coordinating Turn- and Token-Level Credit Assignment for Multi-Turn LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- GeoPID: Decomposing and Steering Visual Information in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Foresight-over-Graph: Reasoning Beyond Local Horizons for Knowledge Base Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Transect: Retaining Observability for Long-Horizon LLM Agent EvaluationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain SignalsDiffusion models → Flow matching, time series and science
- How Much Planning Is Enough? Reducing Search and Computation in World-Model PlanningWorld models → World models for navigation
- Event-Driven Proactive Robot Assistance through Vision-Language ReasoningLLM reasoning → Spatial and embodied reasoning
- DIPrune: Task-Aware Token Pruning with Dual Importance for Efficient Multimodal Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Transferable Spatial Temporal Coherence Adversarial Attack on Black-Box Vision Language Models for Autonomous DrivingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MedZERO: Self-Evolving Agents for Open-Ended Medical Reasoning Through Controlled Knowledge AccumulationLLM reasoning → Clinical and biomedical applications +2
- MARCO: The Radioactive Watermark for Protein Generative ModelsLLM safety and security → Watermarking generated content and models
- MASC: A Multi-Agent Self-Calibration Framework with Latent Construct Alignment for Consistent Client Role-Playing in Psychological CounselingLLM agents and tool use → Social simulation and multi-agent debate
- Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?LLM agents and tool use → Agent skill learning and evolution
- Tool-calling retrieval versus vector RAG for a small Greek--English knowledge base: accuracy and robustness to how users type GreekRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- On the Intrinsic Limited Robustness of Latent-Based WatermarkingDiffusion models → Robustness, privacy and adversarial aspects
- Visual Orchestration Tax in Agentic VLM Pipelines: Auditing and Certifying Visual Evidence ReuseLLM agents and tool use → Multimodal and embodied agents
- Token-Efficient Multi-Agent Collaboration via System One-Guided Computational Division of LaborLLM agents and tool use → General LLM agent frameworks and benchmarks
- ViDAL: A Visual Dynamics-Grounded Action Latent Space for Vision-Language-Action ModelsVision-language-action models → World model-based VLA
- Rethinking Visual Provenance: Detection and Watermarking Across Direct Visual Generation and LLM-Driven Code RenderingLLM safety and security → Watermarking generated content and models
- VLA-ACL: Action-Consistent Visual Token Pruning for Efficient Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- Beyond Waypoint Regression: Query-Based Cost Learning over Reachable Ego Futures for End-to-End DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- AutodidactWAM: Cross-Modal Self-Distillation from Generated Video to Robot ActionsWorld models → Embodied and robot world models
- Enhancing Diffusion Language Models with Autoregressive Post-Training WeightsDiffusion models → Discrete and text diffusion +1
- ChartBmkAgent: Harness-Governed Multi-Agent Construction of Chart QA Benchmarks from Sparse Error-Taxonomy SpecificationsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- DSV-Mem: Evaluating Multimodal Memory in Professional Workflows for MLLM AgentsLLM agents and tool use → Agent memory systems
- Beyond Corrected Memory: Execution Consistency in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data SynthesisSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- POLAR: Ontology-Guided Risk Prevention for Tool-Calling LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Two Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image GenerationDiffusion models → Diffusion foundations and sampling
- DAEDALUS: Bootstrapping Agent Memory from Self-Generated TasksLLM agents and tool use → Agent skill learning and evolution +1
- Learning in Dreams, Winning in Reality: A Continuous Dyna Loop for a Ten-Hero MOBAWorld models → Latent dynamics models and model-based RL
- VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- M3SunAgent: Monocular 3D Spatial Understanding Agent for Metric Depth Estimation and 3D Visual GroundingLLM agents and tool use → Multimodal and embodied agents
- Learning from Revision Consequences: Hindsight Meta-Experience Distillation for Self-Improving AgentsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Learning a Ranking from Human Feedback in Log-Concave Random Utility ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Can Agents Work for Everyone? Cross-User Reliability for Mobile GUI Agents in Personalized User InterfacesLLM agents and tool use → GUI and mobile agents
- EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in SimulationSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- DecepEval: A Benchmark for Evaluating Deception in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- From Delivery to Stateful Exploration: Rethinking the Index for Agentic SearchLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Confidence Reasoning Graphs: Structured Confidence Estimation for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Adapting Vision-Language-Action Models to Unknown Visual Disruptions During ExecutionVision-language-action models → Failure recovery and robustness
- Leveraging a four-quadrant approach for evaluating Redpine ScienceLLM agents and tool use → Web, search, and research agents
- SIGMA: Self-Improving Alignment Generalization from a Model SpecLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +2
- OpenWAM: An Open Framework for Composable World-Action ModelsWorld models → Embodied and robot world models
- Unsupervised Long-Tailed Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Variance-Averse n-Step Offline Reinforcement Learning for Sparse Long-Horizon EnvironmentsOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- Rethinking Faithfulness in LLMs: A Pairwise Context-Sensitive PerspectiveLLM reasoning → Reasoning benchmarks and evaluation
- CueRator: Agentic Search for Symbolic Rules to Adapt Frozen Multimodal EncodersLLM agents and tool use → Multimodal and embodied agents
- ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- WorkflowOps: Learning Agent Collaboration Priors for Multi-Agent Workflow OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- RA-MoWE: Workflow-Affinity Embeddings for Query Clustering and Agentic Workflow GenerationLLM agents and tool use → Web, search, and research agents
- DHCG: Dynamic Construction of Hierarchical Collaboration Graphs for LLM-Based Multi-Agent ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Retrieval Is Not Enough: Refreshing Memory for Frozen Time-Series ForecastersRetrieval-augmented generation → Time series and agricultural RAG
- Agentic Semantic Sensing for Resource-Adaptive AI-RANLLM agents and tool use → Agentic AI for wireless networks
- Nucleus Speculative Decoding: Plausibility-Aware Verification Beyond Exact DistributionEfficient LLM inference and serving → Speculative decoding
- Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MASKerade: Token-Routed Mask Experts for Dense-to-MoE UpcyclingMixture-of-experts → Expert routing strategies
- ThinkFuse: Trajectory-Aware Test-Time Fusion for Small Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- ServeLearnBench: How Well Can Agents Self-Improve from Serving Experience?LLM agents and tool use → General LLM agent frameworks and benchmarks +1
- OOPMAS: Object-Oriented Multi-Agent Systems for Query-Level Workflow GenerationLLM reasoning → Reasoning for agents, planning and code +1
- Persistent Memory in Multi-Agent LLM Inference: What It Costs, What It Buys, and When You Can TellLLM agents and tool use → Agent memory systems +1
- Quantization Effects on Tool-Failure Recovery Vary Across Prompts and Evaluation DesignsLLM agents and tool use → Tool learning and function calling
- APEX: Speculate smarter, not deeperEfficient LLM inference and serving → Speculative decoding
- Reading, Not Manipulating: Leveraging Router Logits for Multimodal Safety in MoE Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language ModelsMixture-of-experts → MoE in reinforcement learning and robotics
- ST-Bench: A Spatial-Temporal Benchmark for Multi-Agent System Generation on Scientific Research TasksLLM agents and tool use → Web, search, and research agents
- Token-Budgeted Escalation for Financial Document QA: Cost Is Predictable, Benefit Is the BottleneckRetrieval-augmented generation → Legal and financial RAG
- Later Is Better: Token Reduction for ViTs Under Distribution ShiftEfficient LLM inference and serving → Token pruning and merging for ViTs
- StairVLA: Stage-Aware Hierarchical Action Generation for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- How Well Do LLMs Reason with Noisy Evidence? An Active Visual Reasoning BenchmarkLLM reasoning → Multimodal reasoning
- Cite What You Explore: Budget-Aware LLM Reasoning over Medical KGs with Verifiable EvidenceLLM reasoning → Clinical and biomedical applications
- SanSi: A Looped Typed Decision Model for System 1.5 ThinkingLLM reasoning → Prompting and chain-of-thought reasoning
- Foveated Compression: Selective High-Resolution Preservation for Token-Efficient VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- The Model Plants the Trigger: Answer-Side Backdoor Attacks in Multi-Turn Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Readout Stability in Prefill-Only Decision Models:Zero-Label Prediction and Inference-Time Compute AllocationLLM reasoning → Test-time compute and efficient thinking
- Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World ModelsWorld models → Latent dynamics models and model-based RL
- Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement LearningSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- ESP: Energy-Score Policy for One-Step Multimodal Action GenerationVision-language-action models → Human-video and latent-action pretraining +1
- Anchor-driven Multi-modal Multi-scale Expert Selection for Survival PredictionMixture-of-experts → Medical and biomedical MoE
- Unlocking Fine-Grained Perception in CLIP via Structurally-Aware Latent Masked ModelingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized GenerationDiffusion models → Image generation, text-to-image and editing
- DLoop: Looped Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Where Rules End and Judges Begin: Measuring the Judgment Boundary in Multi-Agent Systems SecurityLLM agents and tool use → Agent threats, guardrails and governance
- Uniform Discrete Diffusion Models are Minimax Optimal for Estimating Distributions with Small Effective Support SizeDiffusion models → Diffusion foundations and sampling
- OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task PlanningLLM agents and tool use → Multimodal and embodied agents
- Matching Object or Relation? Tracing Abstract Reasoning Inside VLMsLLM reasoning → Multimodal reasoning +1
- SkillPoison: Progressive Skill Poisoning via Successful ExperiencesLLM agents and tool use → Agent skill learning and evolution +1
- Monte Carlo Estimation for KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- Stateless Language Agents: Scaling Long-Horizon Automated ResearchLLM agents and tool use → Web, search, and research agents
- DBRAG: Multi-Table Retrieval-Augmented Generation for Complex Database QueriesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- TacZero: Training-Free Peg Insertion Using a General-Purpose Vision-Language Model with Tactile FeedbackMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- PhysLDM: Latent Diffusion for High-Fidelity Deformable SimulationDiffusion models → 3D, point cloud and scene generation
- VALSE: Vertical Adaptive Layer Skipping for Efficient Inference in Large Language ModelsMixture-of-experts → MoE large language models
- Modeling Latent Disturbances for Robust Decision-Making in World ModelsWorld models → Latent predictive world models
- BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- LSC-DPO: Learning-Signal-Controlled Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Personal-Agent Mediated Recommendation with Cross-Platform User HistoryLLM agents and tool use → Agentic recommender systems
- Two Vectors Replace In-Context Demos: Structured Task Adaptation via EmbeddingsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network OptimizationLLM agents and tool use → Agentic AI for wireless networks
- Preserving Unstable Modes Through Inverse Dynamics in JEPA World ModelsWorld models → Latent predictive world models
- The optimal information complexity of VC learning
- Certified Corruption Budgets: Anytime-Valid Leaderboard Claims under Adaptive Rigging
- Wieszcz-XIX: A 3.1-Billion-Word Corpus of Pre-1918 Polish and Temporally Bounded Language Models Trained From Scratch
- Agent-Controlled Forgetting for Tool-Using Agents: Reversible Context Curation in Practice
- Trajectory Abstraction for the Science of Language Agent Behavior
- Symmetry-Informed Causal Partial Identification
- Conditional Accuracy Profiles: Diagnosing LLM Judges across Deployment Conditions
- Quantize by Drift: Label-Free Mixed-Precision Post-Training Quantization for Text Embedders
- FLoRa: Flight-Assisted Data Collection from Duty Cycling LoRa Nodes under Energy Constraints
- PVSync: A Unified Lip-Sync Expert for Timing and Articulation
- RLDISCOVER: LLM-driven co-evolution of reinforcement learning algorithms
- A Deterministic Evidence Layer for Vision-Language Autism Screening from Naturalistic Home Video
- AGAR: a reinforcement learning substrate for LLM program evolution
- CurveTQ: Rotation-Free Trellis Quantization of LLM Weights via Curvature-Weighted Search
- Sketched Calibration for Conformal Prediction under Covariate Shift
- An Accuracy-Information Tradeoff for Loss-Difference Conditional Mutual Information
- Do Vision Models Learn Physical Constraints or Rendering Shortcuts? A Counterfactual Benchmark for Grounded Physical Consistency
- StyleFields: Multi-Scale AdaIN-Modulated Implicit SDFs for Coarse-to-Fine 3D Shape Reconstruction and Editing
- Exact Dynamics and Finite-Sample Trajectory Recovery of Linear Recursive Feature Machines
- StableGrasp: Reconstructing Physically Stable Human Hand Grasps from Single Images
- Bookkeeping, Composition, or Unreachable Gold? Reading MemoryAgentBench's Conflict-Resolution Scores Against a Frozen Last-Write Resolver
- R-CNN-Based Chess Position Recognition
- From Probabilities to Decisions: Search and Multi-Teacher Distillation with Jev
- Q-PACE: Dynamic Precision Allocation for Quantization-Aware Training
- LayerRoPE: Dynamic Depth-wise Magnitude & Angular Superposition
- Context-aware Attention-based Gaussian Mixture Models for Vehicular Trajectory Prediction
- RDGSplat: Render-Dedicated Geometry for Novel View Synthesis
- Training Language Models To Be Coherent Decision-Makers
- Relative Wasserstein Spatial Depth for Cluster Number Selection in Distributional Data
- sk-bench: A Native-First Benchmark for Evaluating Large Language Models in Slovak
- Sampling SU(N) gauge theory on a 2D lattice from independent plaquettes via holonomies and corner reweighting
- Finding Blind Spots in AppWorld and WorkArena Task Verifiers
- A Cognitive-Aware QML-CRL Framework for Detecting Affinity and Romance-Investment Fraud
- Breaking the Space Barrier and its Application to Language Model Inference
- Directional Evidence Guided Search-Space Reduction for Exact DAG Learning
- The Impact of Likelihood Tempering on the Limiting Predictive Moments of Variational Bayesian Linear Neural Networks
- CADFather: Autonomous CAD Reconstruction through Coordinated Tool Use
- Depth-to-RGB: Repurposing a Frozen Depth Estimator for Geometry-Guided Compositing
- Spatial Induction Heads: In-Context Learning of Multidimensional Cellular Automata
- Are Parameter-Efficient Fine-tuning Methods Really Different?
- The Deceptive Bandit Problem: Exploratory Coupling and the Fragility of Multi-Agent Learning
- Which Buildings Are Artificial Intelligence-Ready? A Measurement-Based Assessment Framework for AI Question Answering and Actuation
- TopoCurve: Geometry-Aware Topology Reasoning via B'ezier Curves in Autonomous Driving
- Workhorse: Learning Robust Whole-Body Humanoid Loco-Manipulation from Human Data
- SPLATIFY: Reproduce, Discover, Innovate! From Papers and Ideas to Trainable 3DGS Code
- Same Text, Different Prediction: Serving-Context Nondeterminism in Text Classifiers
- Breaking Adversarial Transferability in Fine-Tuned Speech Recognition
- Convex-Concave Reinforcement Learning
- Constraint Tree Exploration for Learning from Language Feedback
- On the Computational Complexity of Hidden Markov Model Identification
- Are We Really Benchmarking Forecasting Models? The Impact of Preprocessing on Time Series Performance
- MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
- FedRSPO+: A Heterogeneity-aware Algorithm for Decision-focused Federated Learning
- Tucker Bottleneck Attention for Multi-Dimensional Sequence Modeling
- U-Space: Uncovering When and Why Uncertainty Arises in Language Models
- Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend
- Towards AI-Generated Music Plagiarism Detection as a Version Identification Problem
- OverLay++: Dense-Overlap Layout-to-Image Generation Dataset
- Covariate-dependent Joint Modeling of Multivariate Ordinal Preferences and Its Connections with Comparison Models
- GUARD: Geometric Uncertainty-Aware Point Cloud Denoising and Segmentation for Robotic Hard Disk Drive Disassembly
- Talking with Language Models
- Multi-Label Topic Assignment via LLM Distillation: A Comparative Analysis of Generative vs. Discriminative Student Models
- EDiS: Edge Disjoint Subgraph Sparsification Framework for Graph Neural Networks
- Learning Cross-Model Activation Alignments with Explicit Many-to-Many Layer Maps
- Epistemic Uncertainty-Aware Defect Detection for Quality Control in Medical Device Manufacturing
- A Geometry-Based Capacity Theory for Finite-Feature Associative Memory
- MimicX: Policy-in-the-Loop Supervision Refinement for Video-Driven Humanoid Motion Tracking
- Justice After Identity: Large Language Models and the View from Everywhere
- BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals
- Quadratic Weak-to-Strong Generalization in Random Feature Networks via Random Matrix Theory
- Careful Judge: Safe and Efficient Human-AI Collaborative Decision Making
- ORACLE: Optimizer-Relative Alignment for Constrained LEarning
- From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents
- When the Governor Becomes the Disturbance: Control-Generated Disturbance and Cost-Aware Backoff in Governed Tool-Using Agents
- Shared-Roadmap Generation and Evaluator for Multi-Agent Path Planning Using Heterogeneous Graph Neural Network
- Shape-Bayes: Bayesian Inference of Structured Shapes under Visual Ambiguity
- Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention
- Graph-monotone entrywise guarantees for MLE and Rank Centrality on general comparison graphs
- Visual Memory Attacks Can Persist Through The KV Cache
- Neighborhood Smoothing for Calibration
- Sigma-Hunter: A Domain-Specific Language Model for Threat Hunting and Detection Engineering
- Removing Information Content Does Not Certify Tamper Resistance in Open-Weight Models
- Learning to Report Unsafe Tasks in a Multi-Agent Game
- PhysEvo: Astra Can Act, Let It
- Phoneme-Guided Initialization for LLM-based Speech Recognition
- REFIT: Recognize, Fix, and Test Wearable Sensor Placement Shifts without Labels
- A method for multimodal analysis of TAIGA experiment data using essential features
- Zero-Shot Brain MRI Inpainting with 2.5D Unconditional Flow Priors
- S2Tok: Streaming 3D Gaussian Reconstruction with Persistent Spatial Tokens
- The Best Optimizer Depends on Batch Size
- HULK: Learning Whole-Body Forceful Loco-Manipulation for Humanoids
- Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization
- Socio-Foundation: A Model for Generalizable Individual Behavior Simulation via Hierarchical Capability Distillation
- On KL-Regularized Policy Optimization
- One-Slide Calibration of Pathology Foundation Models
- A Shortcut to Structure in AlphaFold 3
- VCR-Bench: A Modular Open-Source Benchmark for Video Classification Robustness
- Toward Evidence-Driven Human-Agent-Robot Teaming for Earth-Independent Anomaly Triage
- Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station
- Agent Plasticity: Measuring Self-Improvement Through Experience
- Contextualization of Third-Party Cloud Security Findings
- Trustworthy Domain-Specific AI for Structured Knowledge Retrieval and Reasoning
- Hybrid++: The Bridge between PDE Models and Deep Learning for Gamma Noise Removal
- Steering Follows Geometry, Not Labels: Emotion Directions in a Full-Duplex Speech Model
- Task-Sufficient Contraction: Source Selection for Machine Information Interfaces
- Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space
- FinVector-Market-4B: A Controlled Study of LoRA Adaptation for Structured Financial Tasks
- Physics-based Sphere Packing for Lagrangian Mesh Morphing
- Tiny-Scale Chinese BERT Pretraining: A Controlled Comparison of MLM, WWM, and MacBERT Strategies
- How Could AI Eliminate Humanity? A Failure-Mode Analysis of Civilizational Risk
- Slow Beats Fast at the Kesten-Stigum Threshold: Minimax, Fisher-Information and Belief-Propagation Characterizations of the Information-Computation Gap in Sparse Stochastic Block Models
- Learned Monotone Recurrent Features in Governed Credit Scoring: The Price of the Frame and the Necessity of Macro Conditioning
- Building Rome from a Single Image
- QF3: Fast Flow RL with Filtered Q-Gradients
- Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
- IdeaAnchor: Teaching LLMs to Turn Literature into Research Ideas
- ALIVE: Interaction-Aligned Object Insertion for First-Frame-Guided Video Editing
- Sherpa: Teaching LLMs to Teach Adaptively
- Data Leakage in Patch-Based Hyperspectral Image Classification: Quantifying the Impact of Spatial Overlap
- Rapid Fredholm stabilization of the Kuramoto--Sivashinsky equation with unrestricted, spatially-varying anti-diffusion
- VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning
- Post-Training Semantic Lifting for 3D Gaussian Splatting: Separating Detector, Lifting and Representation Error
- Neural Petri flows for chemical reactions
- The Missing Minimal Pair: Stereotype Evaluation in LLMs
- Linear Bandits under Exact Sliding-Window Constraints
- Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation
- On the Computational Tractability of Robust Bandits
- Optimal and Efficient Online Inverse Optimization
- A Systematic Study of Semantic ID Spaces for Generative Information Retrieval
- EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning
- Does an Agent's History Tell You When Compaction Will Hurt? A Modest, Bounded Effect on the TRACE Paired-Replay Corpus
- Holdout Best-of-N: Unbiased Evaluation and Its Cost
- When Forgetting is not Catastrophic: On the Mechanics of Spurious Forgetting
- Prediction-powered inference for time series across space
- Agreement Is Not Validity: Cross-Model LLM Consensus in Diagnosing Student Failure Modes in K-12 Math Tutoring Dialogue
- nanoMuse: An Open-Source Personal Agent for Every Device You Own
- GeneICL: A Tabular Foundation Model for Bulk Transcriptomics
- Probabilistic Counterfactual Inference for Discrete Outcomes in Gaussian-Process Causal Models
- RenderBench: Benchmarking Render-to-Real Video Transfer with Reconstructed Digital Twins
- Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue
- Variance-Optimal Off-Policy Evaluation with Conjunct Effect Modeling
- Same-Number Citation Swaps: Stress-Testing Jev as a Financial Evidence Judge
- PDB: Point-Based Deformation Blending for Facial Animation Retargeting
- Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment
- MemFLoRA: Memory-Floor LoRA for CNN Adaptation at the Edge
- Knowing When to Trust a Prior: Reliability-Gated Cue Fusion for Video Gaze Prediction
- Stable Scores, Unstable Answers: Frame Phase and Option Order in Video Multiple-Choice Evaluation
- HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots
- Forensic Reserve: Eliciting Latent Knowledge for Image Forgery Detection
- Spectral Recovery of Point Clouds from Noisy Geometric Graphs
- Early Memory Selection for Balanced Adam
- Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness
- Classifications in modular restricted Boltzmann machines
- InterCorrect: Intersection-Aware Correction of Demographic Model Merging for Fair ASR
- A Swarm-Coordinated Multi-Robot System for Early Stress Detection in Agricultural Rows Using Multimodal Leaf Sensing
- When does conformal calibration need censoring weights? Cause-of-failure prediction sets under competing risks
- Generative AI translations in high-stakes emergency messaging
- One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control
- Multi-Label Perceptual Bug Detection in Video Games using Deep Learning on Gameplay Footage
- CNet: A Complex-Valued Deep Learning Framework with Wirtinger Autodifferentiation and FFT--Hadamard Convolution
- Random Feature Gaussian Process Attention: Linear-Time Probabilistic Attention with Calibrated Uncertainty
- FedDermaSeg: Federated Learning for Dermatological Image Segmentation
- Sparse2comm: Towards Robust Cooperative 3D Object Detection
- Less Is More: A Leakage-Controlled Study of Dermoscopic Preprocessing for Joint Skin Lesion Classification and Segmentation with YOLO26
- Singular Value Decomposition: A Geometric Rediscovery, Where Proofs Become Algorithms
- Valid for Free: Homophily-Gated Conformal Prediction for Training-Free Node Classification with Tabular Foundation Models
- Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness
- Latent space bias directions in LLMs capture confidence, not fairness
- Systemization of Knowledge (SoK): Human-Centered AI Safety for Youth
- DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory
- AnyBottle: A Recipe to Only Keep the Concepts You Really Need
- How High Is 0.6? Floors, Ceilings, and Headroom in Interpretability Probing
- Micro Neural Policies for Safe Real-Time Robotic Control
- RSJEV: Discriminative Remote Sensing Scene Classification with Multimodal Large Language Models
- From Shared Demand Patterns to Local Uncertainty: Probabilistic Load Forecasting by Mixing Compact Adaptations
- How Bregman Divergences Shape Shampoo
- Beyond Perturbation Magnitude: Direction-Dependent Responses in Multimodal Geometric Representations
- PHBA: Prefix-State Hybrid Block Attention
- X-OPM: Explainable Automatic Digital On-Chip Power Modeling for Enhanced Robustness
- Language-model ratings of depression reflect the rater more than the patient
- Information-Dense Synthesis for Molecular Discovery
- MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata
- Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks
- One-Shot Private Confidence Regions via Resampling
- Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability
- Scalable Regularized Vector Multiplicative Error Models for Positive-valued Financial Time Series
- HuC-VideoMAE: Human-Centric Video Masked Autoencoding from synthetic data
- EMHO: EMbodied Agent Harness Optimization via Experience Traces
- Symmetry-Aware Feature Learning: A Polynomial Separation for Multi-Index Models
- Deformable CT-US Registration via Anatomy-Aware Implicit Neural Representations
- From the Drosophila Visual Connectome to General-Purpose Computer Vision
- Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head Poses
- Image Bitstream Fine-grained Understanding for Privacy-Friendly AIoT
- Knowing When Not to Answer: Cross-Domain and Multi-Turn Generalization of Latent Underspecification Signals
- Decoy and disclosure radii of invariant shape descriptors
- Learning from Failures: A Failure-Driven Prompt Refinement for LLM-Based Vulnerability Analysis
- SSR: Sparse Segment Reduction for Ternary GEMM Acceleration
- Atom-JEPA: Joint-Embedding Predictive Architecture for 3D Atomistic Systems
- UP-MOPD: Update Projection in Multi-Teacher On-Policy Distillation
- Decision-Focused Learning in MDPs: An Occupancy Measure Approach
- UniCounting: Instance-Aware Proposal Consolidation for Image-Query-Free Multi-Category Counting
- Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization
- Evolutionary One-Step Generators: Fast and Diverse Sampling for Discrete Design
- A Stevens's Power Law Check-up of GPT-5.5's Implicit Reading of Visual Encoding
- Explainable Failure Prediction and Prevention in Maritime
- Test-Time Adaptation of Quantized ViTs via Single-Pass Quantizer-Aligned Recalibration
- Uncertainty Quantification Is Indispensable for Reliable Connectome-Based Graph Learning: A Narrative Review and Case Study
- Network Intervention by Polling Strategic Agents
- PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
- High-Dimensional Statistical Inference for Sparse Support Vector Machines
- Digital Twin-Driven Real2Sim2Real: Simulator-Conditioned Generation via Paired Driving-Scene Reconstruction
- Machine Learning for German Redispatch Forecasting under Data Delays and Temporal Distribution Shift
- MoF: Preference-Aware Mixture Modeling for Black-Box LLM Personalization
- An AI-Assisted Formalization of the Poincar'e Conjecture
- Structure-Aware Graph Abstention for Reliable Selective Forecasting
- SCOPE: Certified Theorem Proving with a Language Model as the Policy Planner
- Catastrophic Forgetting in Sequential Thermal Anti-UAV Detection: The Role of Scale-Conditioned Gradient Imbalance
- The Standardization Trap: Certifying Joint Label Processing in Tabular Foundation Models
- CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling
- Language Unalignability: Why Some Concepts Resist Cross-Cultural Benchmark Evaluation
- Memory Depth and Reconstructed Context Width: A Controlled Evaluation of Hierarchical Retrieval
- Mitigating Concept Drift in QoS Prediction for Teleoperation of Autonomous Vehicles Using Historic Data
- OxiGen: Oxidation-State-Aware Crystal Generation
- Where Do Two Populations of Persistence Diagrams Differ? Calibrated Local Inference at a Fixed Budget
- Scalable extraction and visualization of multi-attribute logical and functional dependencies in tabular data
- Event Detection in Table Tennis Videos using 2D Keypoints
- Whose Face Is It Anyway? A Multi-Model Audit of Facial Affect Recognition on Children, and Why the Gap Is the Head, Not the Features
- Two-Sample Testing via Generative Processes
- Performative Prediction with Selective Labels
- Reinforcement Learning with Segment Reward Feedback under Linear Function Approximation
- DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized Batching
- zkLLMPoT: Efficient Zero Knowledge Proof of Training for Large Language Models
- HE-OFT: Privacy-Preserving One-Shot Federated Fine-Tuning under Homomorphic Encryption
- LeanPlan: Optimal Planning with LLM-Generated Heuristics and Admissibility Proofs
- Sensor-Language-Action Models
- OSFP4: Joint Optimization of Diagonal Smoothing and Block Scales for NVFP4 Quantization
- TSRN-RTVD: Real-Time Video Deblurring System
- Confidence-Ordering Reversal under Contextual Priors in Neural Decoding
- How Many Independent Samples Does a Satellite Image Contain? Generalization Bounds for Spatially Dependent Data
- VOMMI: Collecting and Leveraging Portable Demonstrations for Mobile Manipulation
- Quantum Entangled Multimodal Fusion Networks (QEMFN): Resource-Aware Hybrid Vision-Language Fusion via Trainable Entanglement
- Mathematical Proof Assistants for Teaching Logic: The LogiKEy Methodology
- RACE-FPP: A Robust AI-assisted Characterisation Enhancement for Fringe Projection Profilometry
- Anytime-valid simulation-based hypothesis testing
- STRUCTURALCOST: A controlled reading time dataset for modeling human sentence processing difficulty
- Finding the Heads and the Neurons Responsible for Network Information Retrieval in Language Models
- MacJEPA: Missingness-Robust Audio-Visual Recognition from Untrimmed Egocentric Videos
- PIE-PS: Photometric Stereo from Physical Irradiance Event Streams
- Compact Robot Policies Need Fine-Grained Visual Representations
- View Matters: Keyframe-Guided Text-Driven 3D Gaussian Editing
- LFHE: Local-First Heuristic Evolution for Bounded Local Topology Search in Decentralized Learning with Non-IID Data
- Beyond the Leaderboard: Multi-Dimensional Evaluation of Dense and Mixture-of-Experts Models for Automated Program Repair
- Which alloy composition,what process parameters? Inferring the recipe from optimized metallic microstructure and texture
- Align, Then Correct: Training-Free Two-Stage Low-Rank Compensation for Extremely Quantized Large Language Models
- The Failure Is in the Readout: Fine-Grained Emotion Recognition Benchmarks Measure Elicitation, Not Perception
- Symphony for Text Generation: Benchmarking Clinical Note Generation
- Making COMET Comparable Across Scripts: Diagnosis and Correction of Tokeniser-Induced Script Bias in Indic MT Evaluation
- Penalty-Framed No-Valid-Option MCQA: Analyzing LLM Abstention under Invalid Choices
- Navier-Stokes lost in translation: Why Lean verification of AI autoformalisation does not guarantee correct natural language proofs
- Partially Observable Zero-shot coordination by Predicting Intention of Partner
- Test-Time Agent Evolution for Long-Horizon Legal Reasoning
- Beyond Marginal Monitoring: Distributed Joint-Distribution Testing for Data Concept Drift in Large Scale E-Commerce Operations
- Mu-DisCoCat: A Variational Pipeline for Compositional Generalization on Quantum Processors
- Do LLMs Act on What They Know? From Partner Representations to Cooperative Actions
- Supermarket Product Detection and Recognition: Utilizing Deep Learning with Rectified Imagery
- Conversation Is a Two-Body Problem: Dyadic Evaluation of Full-Duplex Dialogue Models
- Attenuated in-context identification in time-series foundation models: diagnosis under counterfactual inputs and repair by synthetic forced-system fine-tuning
- Energy-Aware Path Following: Comparative Analysis of Reinforcement Learning and NMPC for Electric Vehicles
- Beyond Training from Scratch: Foundation Models for Data-Efficient and Generalizable Cardiac MRI Reconstruction
- Exploiting Acoustic and Content-Oriented Speaker Verification Attacks Against Multilingual Voice Anonymization
- Surviving the Router: Optimizing Skill Injections for Retrieval and Execution
- When Tools Lie: Reliability of Mathematical Agents Under Corrupted Tool Feedback
- Natural Language Questions as an Interface for Knowledge Graphs: QRAKEN Graph Distillation and Semantic Self-Healing
- Explainable Rule Mining of IPv6 Extension-Header Presence Patterns from Paired-Vantage Captures
- When Plans Change Answers: Formalizing Cost-Accuracy Optimization for Semantic Queries
- Multi-Dataset Diagnostic Utility of Clinical Visual Concepts in AI Systems for Dermatology
- DirectSpeech2LLM: A Simple End-to-End Framework to Mitigate Prompt Overfitting in Speech-LLMs
- ProximalFM: Amortized Proximal Causal Inference under Hidden Confounding
- Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight
- SpeedrunBench: Challenging LLM Agents with Video Game Speedrunning
- Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields
- Detecting a Shift Is Not Enough: Exact Minimax Limits of Linear Representation Repair
- PhysTacGen: Physics-Aware Visual-Tactile Sensor Image Generation
- HINTT Submission to the 2nd MLC-SLM Challenge: Comparing Cascaded and Unified Approaches to Diarization and ASR
- Language Carries the Expert's Impression: Instrument-Anchored LLM Judges Transfer Counseling-Quality Assessment and Beat In-Domain Training
- A Riemannian Geometry for Low-rank Adaptation
- SepsisLens: Structure-Preserving Sequence Modelling for Decomposable Early Sepsis Warning
- Are Language Models Script-Aware?
- Same Feedback, Different Answer: Measuring Run-to-Run Instability in Frontier-Model Customer Feedback Analysis
- The Labeling Problem in Hallucination Detection Benchmarks: An Empirical Evaluation
- Spectra: Exact Component Transport for Test-Time Prior Adaptation in Simulation-Based Inference
- Learning consistent molecular mechanics force fields from first principles
- Structured but Silent: Probing Capability Requirements in LLM Hidden States
- FOSLS-deRhaNN: native de Rham neural classes for H(div) and H(curl) with applications to first-order system least-squares neural network methods for partial differential equations
- Can phenotypic activity be predicted without experimental readouts?
- TICDA: Tabular In-Context Data Attribution
- A Broader Look at Model Merging: Rethinking Implicit Regularization Induced by Task Arithmetic
- Decide Before You Look: Learning Which Retrieved Memories Deserve Pixels
- Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning
- Feature Encoding in VAE-based Audio Decoders: Effects of Input, Depth and Distribution
- ReGraph: A Computational Account of Emergent Generalization in the "what" and "where" Dual Visual Streams
- DensiTok: Making Feed-Forward 3D Gaussian Splatting See More Views Than It Is Given
- Revisiting Numerical Forecasting Models for Language-Based Trajectory Prediction
- UltraDiff: Differentiable Ray Tracing in Ultrasound for Shape Optimization
- Hybrid Latent Attention for Looped Language Models
- CCDF: A Benchmark Dataset for Deepfake Detection in Real-World Surveillance Footage
- Generalized Matheron Variational Implicit Processes
- Pseudowords as probes: Large Language Models show little of the sublexical sensitivity that governs human pseudoword processing
- Dynamic Alignment and Calibration for Multimodal Learning
- TF-PRVR: Training-Free Partially Relevant Video Retrieval
- Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization
- Multimodal Knowledge Distillation for Gastric Adenocarcinoma Classification from Whole-Slide Images
- Diverse Motion Customization via Control-based Dynamic Optimization
- Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning
- Continuous Memory Machines
- Isotropic Yet Undecodable: The Sequential Content-Sufficiency Gap in Latent-Predictive Text Representations
- ApexQuant: Data-Free Elastic Quantization by Residual Re-Isotropization
- ARIA: Audio-Driven Melody-Tone Relation Modeling for Cantonese Lyric Authoring
- IEEE 802.11bx - WLAN Intelligent Networking (WIN): Toward an AI-Ready Wi-Fi 9
- Textual Environmental Context and Spatial Graphs for LLM-Based Regional SST Forecasting
- Visual Abstention in Unified Multimodal Models
- ShanLiangRen: A Nutrition Agent for Personalized Daily Meal Planning
- Label-Efficient Deep Learning for ECG Delineation: A Multi-Dataset Benchmark against Widely Used Delineation Tools
- Learned Adaptive Multiresolution Diffusion Imaging
- Revar3r: gauge-aware perturbation uncertainty for feed-forward 3d reconstruction
- Self-Referenced Social Preferences: Cooperation without Observing Others Rewards
- On-Policy Distillation with Negative-Policy Rollouts
- A self-learning scientific agent for X-ray diffraction
- Tram-FL: Reducing Communication and Computation Costs through Sequential Model Circulation in Decentralized Federated Learning
- A Decision-Focused Neural Optimization Framework for Personalized Route Reproduction from Vehicle Trajectories
- Lost in the bf16 Cast: Exporting Ternary Language Models Can Revert Most Low-Learning-Rate Code Changes
- Dynamic Positional Attention Modulation for Parameter-Efficient Fine-Tuning of Large Language Models
- OMIT the Action: Measuring Framing-Invariant Omission Bias under Philosophical Disagreement
- Scen-Opt: A Scenario Optimization Toolbox for Data-Driven Convex Programming
- CHARTER: Auditing Reference Substitution in Hierarchical Compact-Evidence Evaluation for Computational Pathology
- Privileged Context as Drift in On-Policy Self-Distillation
- Harness Engineering for Software Engineering via Modular Executable Dev-Primitives
- Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction
- CANDLE: Cortical Null-Space Decomposition for Noninvasive Brain Source Imaging
- TTNet: Multi-Task Deep Learning for Table Tennis Player Analysis with Smart Racket
- αTransfer: Coefficient Transfer for Efficient Model Merging
- One Step at a Time: Trading LLM Autonomy for Process Predictability
- Stochastic Gradient Descent Ascent is Suboptimal for Nonconvex-PL Min-Max Games
- SIFT: Search Intent-to-Filter Transformer for Multi-Task Personalized Filter Ranking at Airbnb
- Common-Mode Errors Limit Low-Timestep Deep Spiking Q-Networks
- Adaptive Mean Estimation by In-Context Learning: A Gradient-Flow Analysis
- Towards benchmarking Western Bluebird detection in the wild
- Novice Reliance Calibration in AI-Assisted Decision Making: The Role of Explanations and Self-Assessment
- Thin Evidence, Thick Priors: How Language Models Substitute Identity for Missing Financial Facts
- The Geometry of Empowerment
- Efficient Gaussian Splatting Sequence Compression with Standard Video Codecs
- Geometry-Constrained Bidirectional Point Cloud Registration for Thin, Sheet-Like Heritage Artifacts
- Illusory Pattern Perception Drives Spurious Inference in Large Language Models
- Image-Space Refraction Correction for Underwater 3D Reconstruction: Warping Flat-Port Views into Pinhole Perspective
- Extending Pathwise Gradients to Discrete Random Variables via Finite-Order Relaxation
- Attacca: Goal-Directed Control under State Continuity for Long-Horizon Embodied Agents
- From Laboratory to Road: Evaluating Wearable Gaze Accuracy for Driving
- Towards One-for-All Foundation Model for Attributed Graph Clustering
- OTel: Open Telco AI Datasets, Benchmarks, and Models
- No Transformer Beats Six Covariates: Long-Horizon Prediction of Depressive Symptoms from Childhood Essays
- Contrastive Learning for Aspect Representation towards Explainable Recommendation
- Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects
- Adversarially Trained Linear Transformers Are Optimal Robust In-Context Learners for Gaussian Mixtures
- From Evidence to Action: How Tool-Using Agents Fail
- Cleave: Scaling Tensor Program Optimization via Decoupled Algebraic Search and Operator Scheduling
- High-dimensional online calibration from harmonic weights
- Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
- Learning to Retrieve via Reinforcement Learning in Embedding Space
- Structure-aware Keypoint Localization for Videofluoroscopic Swallowing Study
- PERSIST: Who-What-When Memory Across Sessions for Full-Duplex Spoken Dialogue
- Does Steering Break Your Model? A Multi-Dimensional Evaluation Suite for LLM Steering Methods
- Exact Calibration and Sharp Risk Geometry for Volume-Sampled Ridge Regression
- RefRoute: Decoupling Conditioning Cost from References via Compact Residual Conditioning and Spatial Routing
- Stability of Measure-to-Measure Transformers on Sub-Gaussian Data
- When Old Facts Return: Re-Reads, Reverts, and the Limits of Temporal Memory
- Neuromotor Hierarchy Network: Physiological Inductive Biases for Robust Generalization in sEMG Decoding
- Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction
- Comprehensive Evaluation and Fine-Tuning of Foundational Cell Nuclei Segmentation Models in Renal Pathology
- Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation
- AgentMemGate: Addressing Speculation Contamination in Conversational Assistant Memory
- WASD: Wasserstein-based Knowledge Distillation for Large Language Models
- What Frame-Level Labels Can and Cannot Do for Small-UAV Point Detection in Thermal Video
- On the Boundary of Admission Gates: An Injected-Truth Study of Falsification-First Selection in Quantitative Strategy Research
- Detecting LLM-Assisted Vietnamese Writing via Keystrokes under Behavioral Manipulation
- RBMatch: Dual-Level Class Rebalancing for Semi-Supervised Building Footprint Extraction
- BluffJAX: Adversarial Imperfect Information Games in JAX
- EigenDEXplore: Structured Exploration for Dexterous Manipulation with Human Priors
- Adaptive Model Inversion Attacks Generalize a Privacy-Robustness Tradeoff
- Exact-Solution Volume and Length Generalization in Transformers
- EIO-Agents: The Missing Semantic Layer for AI Agent Evaluation
- Evaluating human-AI workflows for field research in viticulture
- CACHEFORGE: LLM-Guided End-to-End Generative Cache Replacement Policy for Performance and Hardware Efficiency
- SENSE: State-aware Emotion Navigation Storytelling Engine
- Joint Workflow and Prompt Optimization for User Behavior Simulation
- MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning
- Massive Activation Gating Channel in Large Language Models
- Does On-Policy Distillation for Safety Pose Backdoor Risks?
- SMART: Zero-Shot Sim-to-Real Articulated Object Manipulation via Large-Scale Synthetic Pretraining
- Loud and Clear: Dynamic Activation Steering for Improving Speech Intelligibility in Noisy Environments
- Towards the Automatic Synthesis of Interpretable Chess Tactics
- Learning Explainable Representations of Complex Game-playing Strategies
- Asymptotic Analysis of Empirical Risk Minimization on Entry-wise i.i.d. Heavy-Tailed Data
- Measuring climate backlash in Twitter and Reddit archives: Lexical definitions, recorded responses and participant turnover
- Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning
- Learning to Outgrow a Theory: Experimental Discovery Beyond the Initial Hypothesis Space
- A Novel Sentence Stress Detection Framework Leveraging Auxiliary Word-Stress Modeling and Loss Optimization
- Explicit Asymptotic Bounds for Sequential Calibration Beyond T2/3
- Explore, Then Commit: Measurement-Efficient Scientific Law Discovery with Language Models
- AFA-BANDIT: Provably Near-Optimal Online Multi-Feature Classification Under Budget Constraints
- BioStudyBench: Evaluating Agents on Post-Cutoff Biomedical Studies
- Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane
- Hub for Outliers, Spokes for Inliers: Uniform Latent Space Construction for Dual-Mismatched Semi-Supervised Learning
- Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
- Emoception: Selective Affective Layer Fine-Tuning of Video Vision Transformers for Player Arousal Change Recognition From Gameplay Footage
- A Neural JKO Scheme for Hellinger-Kantorovich Gradient Flows via Monge-Growth Pairs
- Beyond Scalar IoU: Structured Verification from Rollout Groups for Video Temporal Grounding
- The Robot Is Not Its Description: GaugeBench for Representation Robustness in Morphology-Aware Policies
- Recurrent Looped Transformer
- Vine Copula VAR:From Recursive Margins to Joint Forecast Inference
- Large Language Model Orchestration under Heterogeneous Preferences via Explicit Persona Inference
- REViT-v2: Hierarchical Windowed Roto-reflection Equivariant ViT for Equivariant Feature Extraction
- Mechanistic Interpretability of Atmospheric Rivers in GraphCast
- Representation Bias, Correction Transfer, and Resolution Sensitivity in Three-Dimensional Mitochondrial Morphometry
- LOGIC: An LLM Benchmark for Intent-Grounded Change Impact in Aerospace Electrical Systems
- Cooperating with Future Collaborators: Multi-Agent RL under Staggered Participation
- CETUS: How Far Do Representations Trained on Earth Transfer to Cassini SAR of Titan?
- Unanimously Wrong: Certified Abstention from How Medical LLM Consensus Forms
- OpenSplatGraph: From Dense Semantic Maps to Structured Scene Graphs for Open-Vocabulary Robot Perception
- AIMS: Anchor-Integrated Multi-View Synthesis for Scalable Novel View Rendering
- Complementary Feature Domains: Information Preservation Does Not Imply Predictive-Contribution Preservation
- HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
- Learning a Mixture of GFlowNets
- LARK: A Low-Cost, Accurate, Occlusion-Resilient, Kalman Filter-Assisted Tracking System for Image-Guided Surgery
- Navigating Route Latent Space for Synthesizable Molecular Design
- TAFFY: A Task-Adaptive Tabular Foundation Model with In-Context Diversity
- Seeing the Invisible: Physics-Guided Visual Prompting for Temperature- and Radiation-Aware VLA Navigation
- CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?
- Decoupled Multi-Agent Orchestration
- Global Transport Couplings for Classifier-Free Guided Flows
- Which and When to Admit: Gradient Admission for Data-Centric Small Language Model Finetuning
- Is √d Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?
- Quality-Aware Self-Correcting Speech Translation on an Edge Device
- A Systematic Investigation of Bias in Large Language Models for Advertising Relevance
- Disentangling Models from Personas in Heterogeneous LLM Simulations
- SkillFormer: Skill-Decomposed Adaptation for Audio Language Models