Papers
Mon 1 Jun 2026
631 papers
- DS-Lighting: Making Agent Harnesses Explicit for Data-Science AutomationLLM agents and tool use → Web, search, and research agents
- Thought-Aware KV Cache Compaction for Reasoning via Adaptive Attention MatchingLLM reasoning → Test-time compute and efficient thinking +1
- Reliability-Aware Sexism Detection: Combining DPO with Annotator Agreement and Token-Level Confidence ScoringLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- AnchorSIPS: A Synthetic Dataset and Evaluation Resource for Evidence-Supported Psychosis-Risk Symptom MeasurementSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- Execution-Grounded Security Testing for Coding Agents in Software Engineering PipelinesLLM agents and tool use → Agent threats, guardrails and governance +1
- From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text GenerationMechanistic interpretability → Activation steering methods
- Adversarial Style Optimization: Enhancing VLM Jailbreaks by GRPO-based Stylistic Triggers OptimizationLLM reasoning → Reasoning for agents, planning and code +3
- Profile-Graph Memory for LLM Agents: Implicit Cross-Entity Traversal through Narrative ProfilesLLM agents and tool use → Agent memory systems
- PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- The Crowded Embedding Space: A Mean-Field Mechanism for Emergent Marginalization in Retrieval-Augmented AgentsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- FUSE: Quantifying Uncertainty in Vision-Language Models by Bayesian Fusing Epistemic and Aleatoric UncertaintyMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SPACE: Source-free Proxy Anchor Concept Erasure for MLLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Two to Tango: Coupled Task-Reference Selection for Safe LLM Fine-tuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Alignment Collapse Under KV Cache Quantization: Diagnosis and MitigationEfficient LLM inference and serving → KV cache quantization
- From Confident Closing to Silent Failure: Characterizing False Success in LLM AgentsLLM agents and tool use → Software engineering coding agents
- AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Readable Yet Unpredictable: Rotated-Outcome Prediction in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- No Free Lunch for Synthetic Images under Data Scarcity ConditionsDiffusion models → Robustness, privacy and adversarial aspects
- Position: Deployed Reinforcement Learning should be ContinualDeep reinforcement learning methods → Deep RL algorithms and representations
- MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language ModelsLLM safety and security → Jailbreaking
- Designing for Doubt: The Case for Informed Abstention in Autonomous AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Multi-Segment Attention: Enabling Efficient KV-Cache Management for Faster Large Language Model ServingEfficient LLM inference and serving → KV cache optimization
- Gate AI: LLM Security Benchmark Evaluation Methodology and ResultsLLM safety and security → Jailbreaking
- The Road Ahead in Autonomous Driving: The KITScenes Multimodal DatasetEnd-to-end autonomous driving → End-to-end system architecture
- SCOPE: Real-Time Natural Language Camera Agent at the EdgeLLM agents and tool use → Multimodal and embodied agents
- BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Fast Unlearning at Scale via Margin Self-CorrectionLLM safety and security → Machine unlearning
- WRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing AgentsLLM agents and tool use → Agent skill learning and evolution
- Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesLLM reasoning → Reasoning benchmarks and evaluation +1
- Fairness Definitions and Metrics in Deep Reinforcement Learning for Drug Discovery in Healthcare: A Rapid Evidence ReviewDeep reinforcement learning methods → RL for energy, networks and operations
- Are we really tilting? The mechanics of reward guidance in flow and diffusion modelsDiffusion models → Diffusion and flow policies for robotics +1
- Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted TasksLLM agents and tool use → Software engineering coding agents
- Adaptive Latent Agentic ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- The Epi-LLM Framework: probing LLM behavioral priors through epidemiological agent-based modelsLLM agents and tool use → Social simulation and multi-agent debate
- When Helping Hurts and How to Fix It: Multi-Agent Debate for Data CleaningLLM agents and tool use → Social simulation and multi-agent debate
- Toward a Modular Architecture for Embedded AI Agent Systems at the EdgeLLM agents and tool use → General LLM agent frameworks and benchmarks
- Spectral-Progressive Thought Flow for Lightweight Multimodal ReasoningLLM reasoning → Spatial and embodied reasoning
- Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM InferenceEfficient LLM inference and serving → KV cache quantization
- Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early DetectionLLM agents and tool use → Medical and scientific domain agents +1
- Automated Report-Derived Oncology VQA Benchmark for Evaluating Vision-Language Models on 3D Medical ImagingMultimodal LLMs / vision-language models → Medical vision-language models
- ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical ReasoningLLM reasoning → Clinical and biomedical applications
- Cosmos 3: Omnimodal World Models for Physical AIWorld models → Video-generation world models and simulators
- AURA: Action-Gated Memory for Robot Policies at Constant VRAMEfficient LLM inference and serving → Visual token pruning in multimodal models
- GeoDrive-Bench: Benchmarking Region-Specific Multimodal Reasoning in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- MetaWorld: Scaling Multi-Agent Video World Model from Single-view Video DataWorld models → Video-generation world models and simulators
- SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration VideosVision-language-action models → Human-video and latent-action pretraining
- Consistent Yet Wrong: Evidence Insensitivity in Spatial Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- See Less, Specify More: Visual Evidence Budgets for Generalizable VLAsVision-language-action models → VLA architectures and generalization
- Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Post-Boundary Bridge: Must Local Attention Go Global Between Global Layers?Efficient LLM inference and serving → KV cache optimization
- Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security ReasoningLLM agents and tool use → Agent threats, guardrails and governance
- Visual Graph Scaffolds for Structural Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation NowcastingDiffusion models → Flow matching, time series and science
- Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward ModelingLLM reasoning → Multimodal reasoning +2
- RoboDream: Compositional World Models for Scalable Robot Data SynthesisWorld models → Embodied and robot world models
- ProtoAda: Prototype-Guided Adaptive Adapter Expansion and Geometric Consolidation for Multimodal Continual Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- From Zero to Hero: Training-Free Custom Concept Spawning in World ModelsWorld models → Video-generation world models and simulators
- ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for AgentsLLM agents and tool use → Medical and scientific domain agents
- VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time OptimizationLLM reasoning → Multimodal reasoning
- From Layers to Submodules: Rethinking Granularity in Replacement-Based LLM CompressionLLM reasoning → Test-time compute and efficient thinking +1
- LongLive-RAG: A General Retrieval-Augmented Framework for Long Video GenerationRetrieval-augmented generation → Multimodal RAG +1
- SimSD: Simple Speculative Decoding in Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- SkillHarm: Lifecycle-Aware Skill-Based Attacks via Automated ConstructionLLM agents and tool use → Agent threats, guardrails and governance
- LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative ModelsLLM reasoning → Multimodal reasoning
- Improving Combined Detection and Classification of TEM Defects via Mask-Conditioned Latent Diffusion AugmentationDiffusion models → Flow matching, time series and science
- SafeSteer: Localized On-Policy Distillation for Efficient Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Moment-Video: Diagnosing Temporal Fidelity of Video MLLMs on Momentary Visual EventsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Drifting Preference Optimization for One-Step Generative ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- CRAM: Centroid-Routing and Adaptive MoE for Multimodal Continual Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Bridging the Last Mile of Time Series Forecasting with LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- Monitoring Agentic Systems Before They're ReliableLLM agents and tool use → Software engineering coding agents
- Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA ManipulationWorld models → Embodied and robot world models +1
- Iteris: Agentic Research Loops for Computational MathematicsLLM agents and tool use → Educational agents and math problem solving
- Ghost Tool Calls: Issue-Time Privacy for Speculative Agent ToolsLLM agents and tool use → Agent threats, guardrails and governance
- MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment SimulationLLM agents and tool use → Tool learning and function calling
- Learning When to Translate for Multilingual ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +2
- Beyond One-shot: AI Agents for Learning in Field ExperimentsLLM agents and tool use → Medical and scientific domain agents
- Geometry-Aware Implicit Memory for Video World ModelsWorld models → Video-generation world models and simulators
- ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- NDPP-Grasp: Non-Differentiable Physical Plausibility Constraint-Guided Task-Oriented Dexterous Grasp GenerationDiffusion models → Diffusion and flow policies for robotics
- GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial TranscriptomicsMixture-of-experts → Medical and biomedical MoE
- Investigating and Alleviating Harm Amplification in LLM InteractionsLLM safety and security → Safety alignment, refusal and guardrails
- K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean ContextsLLM agents and tool use → Web, search, and research agents
- A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RLLLM reasoning → Reinforcement learning for reasoning
- Policy and World Modeling Co-Training for Language AgentsWorld models → World models for language agents +1
- AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence DesignLLM reasoning → Clinical and biomedical applications +1
- How Optimality Structures Sparse Dictionaries: Theory for Interpreting SAE RepresentationsMechanistic interpretability → Sparse autoencoder training and evaluation
- SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action DivergenceLLM agents and tool use → Agent threats, guardrails and governance
- When Do Attention Circuits Form? Developmental Trajectories of Capability and Attention-Sink Emergence Across Three 1B-ClassArchitecturesMixture-of-experts → MoE large language models +1
- Harness-1: Reinforcement Learning for Search Agents with State-Externalizing HarnessesDeep reinforcement learning methods → RL training of language and agent models
- CoMAP: Co-Evolving World Models and Agent Policies for LLM AgentsWorld models → World models for language agents +1
- MOC: Multi-Order Communication in LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent TrainingLLM agents and tool use → Agent skill learning and evolution
- Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior UpdatesDiffusion models → Inverse problems and image restoration
- Training-Free Composed Video Retrieval via Visual Representation-Guided Video-LLM ReasoningLLM reasoning → Multimodal reasoning +1
- TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report GenerationLLM agents and tool use → Web, search, and research agents
- Towards Precise Intent-Aligned VLA Aerial Navigation via Expert-Guided GRPOLLM reasoning → Reinforcement learning for reasoning
All 631
- Deep Learning for Remote Sensing to Improve Flood Inundation MappingDiffusion models → Inverse problems and image restoration
- FATE-VLA:Failue-aware test generation for vision-language-action modelsVision-language-action models → Failure recovery and robustness
- Unified Context Evolution for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Cross-Domain Dead Tree Detection via Knowledge Distillation in Aerial ImageryKnowledge distillation → Detection and dense prediction distillation
- SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous AgentsLLM agents and tool use → Agent threats, guardrails and governance
- POIROT: Interrogating Agents for Failure Detection in Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Dynamics Are Learned, Not Told: Semi-Supervised Discovery of Latent Dynamics Geometries For Zero-Shot Policy AdaptationDeep reinforcement learning methods → Deep RL algorithms and representations
- RoboSemanticBench: Diagnosing Semantic Grounding in Action Prediction for VLA ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- Cross-modal linkage risk in clinical vision-language modelsMultimodal LLMs / vision-language models → Medical vision-language models
- Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Vision-language Models for Driver Monitoring Systems: A Driver Activity Description DatasetMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Geometric Latent Reasoning Induces Shorter Generations in LLMsLLM reasoning → Test-time compute and efficient thinking
- When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- BlockGen: Flexible Blockwise Sequence Modeling with Hybrid SamplersDiffusion models → Discrete and text diffusion
- AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS IntegrationsLLM agents and tool use → Agent threats, guardrails and governance +1
- Why Are DMD Students Lazy? Understanding the Copying Behavior in Few-Step DistillationDiffusion models → Diffusion foundations and sampling
- Faster Synchronous On-Policy RL via Straggler-Aware Group SizingLLM reasoning → Reinforcement learning for reasoning
- Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community NotesLLM agents and tool use → Medical and scientific domain agents +1
- Cross-Environment Neural Reranking for Sample-Efficient Action Selection in Text-Based AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Coherent Off-Policy Improvement of Large Behavior Models with Learned RewardsOffline RL and imitation learning from data → Real-world robot offline RL +1
- On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow MatchingDiffusion models → Flow matching, time series and science
- Low-Pass Flow MatchingDiffusion models → Flow matching, time series and science
- InfoMerge: Information-aware Token Compression for Efficient Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Ultra Diffusion Poser: Diffusion-Based Human Motion Tracking From Sparse Inertial Sensors and Ranging-Based Between-Sensor DistancesDiffusion models → 3D, point cloud and scene generation
- Variational Learning for Insertion-based GenerationDiffusion models → Discrete and text diffusion
- Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- How Hard Can It Be? Hardness-Aware Multi-Objective UnlearningLLM safety and security → Machine unlearning
- Error Bounds for a Diffusion Model-Based Drift EstimatorDiffusion models → Diffusion foundations and sampling
- A Primer in Post-Training Reasoning Data: What We Know About How It WorksLLM reasoning → Reinforcement learning for reasoning
- Jailbreaking Multimodal Large Language Models using Multi-Clip VideoMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- BADGER: Bridging Agentic and Deterministic Evaluation for Generative Enterprise ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Multimodal Action Diffusion for Robust End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- DFlare: Scaling Up Draft Capacity for Block Diffusion Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- FocusDiT: Masking Queries in Diffusion Transformers for Fine-grained Image GenerationDiffusion models → Image generation, text-to-image and editing
- Agentic-J: An AI Agent for Biological Microscopy Image AnalysisLLM agents and tool use → Medical and scientific domain agents
- Ablating Archetypes: The Stability of Archetypal SAEs is an Artifact of Initialization and Metric DesignMechanistic interpretability → Sparse autoencoder training and evaluation
- Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent TrajectoriesLLM agents and tool use → Web, search, and research agents
- eMoT: evolving Memory-of-Thought via Symbolic Anchoring and Memory CorrosionLLM reasoning → Prompting and chain-of-thought reasoning
- Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in BuildingsDeep reinforcement learning methods → RL for energy, networks and operations
- Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA BanksDiffusion models → Flow matching, time series and science
- SentGuard: Sentence-Level Streaming Guardrails for Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web AgentsLLM agents and tool use → Web, search, and research agents +1
- Unveiling the Entropy Dynamics of Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted RecoveryLLM reasoning → Test-time compute and efficient thinking
- PlanarBench: Evaluating LLM Spatial Reasoning via Planar Graph DrawingLLM reasoning → Spatial and embodied reasoning
- An Agentic Approach Towards Replication Package Quality EvaluationLLM agents and tool use → Software engineering coding agents
- Scaling Agentic Capabilities via Grounded Interaction SynthesisLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh TokenizationDiffusion models → Video generation
- CARTE: A Benchmark for Mapping Language Model Knowledge Across FranceLLM reasoning → Reasoning benchmarks and evaluation
- MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?LLM agents and tool use → Agent skill learning and evolution +1
- SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow MatchingDiffusion models → Image generation, text-to-image and editing +1
- AutoMedBench: Towards Medical AutoResearch with Agentic AI ModelsLLM agents and tool use → Medical and scientific domain agents
- WALL-WM: Carving World Action Modeling at the Event JointsWorld models → Embodied and robot world models
- Randomized Least Squares Value Iteration itself is Joint Differentially PrivateDeep reinforcement learning methods → RL for energy, networks and operations
- Co-training with Ego-centric Video and Demonstration for Robot Navigation TaskVision-language-action models → Human-video and latent-action pretraining
- Learning Action-Conditional and Object-Centric Gaussian Splatting World Models for Rigid ObjectsWorld models → Embodied and robot world models
- Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and PlanningWorld models → World models for autonomous driving +1
- HMPO: Hybrid Median-length Policy Optimization for Chain-of-Thought CompressionLLM reasoning → Test-time compute and efficient thinking +1
- 3rd Place at CVPR 2026 CASTLE Challenge: Agentic Multi-View Long-Context Video Understanding via Hierarchical Knowledge Graph RetrievalLLM agents and tool use → Multimodal and embodied agents
- QoEReasoner: An Agentic Reasoning Framework for Automated and Explainable QoE Diagnosis in RANsLLM reasoning → Reasoning for agents, planning and code +1
- Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +2
- SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart HomesLLM reasoning → Spatial and embodied reasoning +1
- The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal DialogueMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular ObservationsState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Task-Induced Representational Invariances Depend on Learning Objective in Deep RLDeep reinforcement learning methods → Deep RL algorithms and representations
- Set-Supervised Diffusion Policy: Learning Action-Chunking Diffusion through CorrectionsDiffusion models → Diffusion and flow policies for robotics
- RadioMaster: Multi-Agent System for Autonomous Radio Signal GenerationLLM agents and tool use → Agentic AI for wireless networks
- A Theoretical Framework for Self-Play Theorem Proving AlgorithmsSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent SpaceVision-language-action models → 3D and spatial-aware VLA
- Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic ServingLLM agents and tool use → Software engineering coding agents
- LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Benign Inputs, Harmful Outputs: Cross-Modal Jailbreaking via Distributed Semantic RecompositionLLM safety and security → Vision-language and text-to-image safety
- CAPF: Guiding Search-Agent Rollouts with Credit-Attenuated Privileged FeedbackLLM agents and tool use → Web, search, and research agents
- Dynamic Trust-Aware Sparse Communication Topology for LLM-Based Multi-Agent ConsensusLLM agents and tool use → General LLM agent frameworks and benchmarks
- Hierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving ScenariosMixture-of-experts → MoE in reinforcement learning and robotics
- CRAB-Bench: Evaluating LLM Agents under Complex Task Dependencies and Human-aligned User SimulationLLM agents and tool use → Social simulation and multi-agent debate
- Cost-Aware Diffusion Draft Trees for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Planning Takes More Than Token Prediction: Causal Plan for Benchmarking and Building Physically Grounded Embodied ReasonersLLM reasoning → Spatial and embodied reasoning
- OctoT2I: A Self-Evolving Agentic Text-to-Image RouterLLM agents and tool use → Multimodal and embodied agents
- STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- PlatonicNav: Unveiling Semantic Correspondence in Navigation with Platonic Topological MapsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MoRE: A Mixture-of-Experts-Based Task-Adaptive End-to-End Network for Multimodal MRI ReconstructionMixture-of-experts → Medical and biomedical MoE
- HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent SystemsLLM agents and tool use → Software engineering coding agents
- Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task StreamsLLM agents and tool use → Software engineering coding agents +1
- EvoCut: Multi-Layer Evolution-Aware Visual Token Compression for Efficient Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- TriAlign: Towards Universal Truth Consistency in Personalized LLM AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language ModelsLLM safety and security → Jailbreaking
- TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability DeterminationRetrieval-augmented generation → Legal and financial RAG
- Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Density-Aware Translation of Spurious Correlations in Zero-Shot VLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CANARY: Zero-Label Detection of Fine-Tuning Contamination in Language ModelsMechanistic interpretability → Steering and probing for LLM safety
- Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- Encoded but Not Routed: Explaining the Table-Chart Gap in Scientific Claim VerificationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- RDA: Reward Design Agent for Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language ModelsMixture-of-experts → Multimodal MoE models
- ATLAS: Agentic Test-time Learning-to-Allocate ScalingLLM reasoning → Reasoning for agents, planning and code +1
- DOT-MoE: Differentiable Optimal Transport for MoEficationMixture-of-experts → MoE large language models
- Quantifying the Energy Floor: Direct Measurement and Replay Buffer Bias in SAC-Based HVAC Control on sbsimDeep reinforcement learning methods → RL for energy, networks and operations
- CoreUnlearn: Rethinking Concept Unlearning through Disentangled Component-Level Erasure in Text-guided Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Self-Regulating Annealing in Heavy-Tailed Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility GenerationLLM agents and tool use → Multimodal and embodied agents +1
- Pave-GRPO: Beyond Instantaneous Guidance through Principled Average Velocity DecompositionLLM reasoning → Reinforcement learning for reasoning
- IMWM: Intuition Models Complement World Models for Latent PlanningWorld models → Latent predictive world models
- What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Goal2Pixel: Grounding Goals to Pixels for Vision-Language NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Real-Time Generation of Streamable Talking Portrait Video with Reference-Guided Deep Compression VAEsDiffusion models → Audio, speech and music
- ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RLLLM agents and tool use → Agent skill learning and evolution
- TechRAG: Evidence-Gated Multimodal Agentic RAG for Technical Literature ReasoningLLM reasoning → Multimodal reasoning +2
- Self-Improving Small Object Grounding in LVLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image CompressionDiffusion models → Diffusion for compression and wireless
- FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning EnvironmentKnowledge distillation → Federated, robust and private distillation
- RoboTrustBench: Benchmarking the Trustworthiness of Video World Models for Robotic ManipulationWorld models → Embodied and robot world models
- TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RLLLM reasoning → Multimodal reasoning
- TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted ReasoningLLM reasoning → Multimodal reasoning
- Effective Multi-sensor Conditioning for Street-view Novel-view SynthesisDiffusion models → Diffusion and flow policies for robotics
- Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Agent System Operations: Categorization, Challenges, and Future DirectionsLLM reasoning → Reasoning for agents, planning and code +1
- Defenses & Enablers For Skill Injection Attacks on Terminal Based AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language NavigationLLM reasoning → Spatial and embodied reasoning
- MomentKV: Closing the Directional Gap in KV Cache Eviction for Long-Context InferenceEfficient LLM inference and serving → KV cache optimization
- S-SPPO: Semantic-Calibrated Self-Play Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning +1
- RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing AgentsLLM agents and tool use → Social simulation and multi-agent debate
- ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud SegmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Self-Conditioned Positional HNSW for Overlap-Aware Retrieval in Chunked-Document RAG Systems: Method and Industrial Evidence-Quality AuditRetrieval-augmented generation → Multimodal RAG
- MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical DynamicsDiffusion models → Video generation
- Multi-Agent Computer UseLLM agents and tool use → GUI and mobile agents
- Joint Agent Memory and Exploration Learning via Novelty SignalsLLM agents and tool use → Agent memory systems
- Near-Optimal Machine Unlearning Utility for Smooth Strongly Convex LossesLLM safety and security → Machine unlearning
- Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute DefenseLLM safety and security → Safety alignment, refusal and guardrails
- ProbMoE: Differentiable Probabilistic Routing for Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating SystemsLLM agents and tool use → Software engineering coding agents
- Measurement-Budget Allocation in Quantum Learning with Finite-Shot Generalization Guarantees
- PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings
- "YES! YES! I absolutely love this insight!" Affirmative Narration as Interactional Strategy in Dialogues with LLM Chatbots
- Reference Feature Atlases for Mechanistic Auditing of Language Models
- Tractable Hierarchical Control of Autoregressive Language Models
- LLMs as Teaching Assistants for Mathematics Exam Grading: Reliability, and Practical Usability
- Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints
- Graph Instance Landscapes: When Structural Similarity Does (Not) Reflect Shortest-Path Performance
- Machine Learning-Driven Chemical Reactor Network Modeling of the Sandia-D Flame
- FairGen: Preference-Aligned Diffusion for Demographically Equitable Medical Image Synthesis
- QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning
- EstRTL: Functional Estimation Guided RTL Code Generation
- LLM-as-a-Discriminator: When Synthetic Tables Still Look Real
- Do VLMs See What Sensors Feel? A Scalable Expert-Guided Design for Wheelchair Accessibility Assessment from Street View
- MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention
- Anchor-Conditioned Compositional Control for Landscape Image Generation
- Unpredictable Safety: Domain-Dependent Compliance and the Transparency Gap in Open-Weight LLMs
- Gradient-based optimization of nuclear criticality experiments using neural surrogate eigenvalue sensitivities
- Do Transformers Need Three Projections? Systematic Study of QKV Variants
- Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent
- Novel Aspects of IEEE SA P3109 Arithmetic Formats for Machine Learning
- The Biomimetic Architecture of Software 4.0
- CodegenBench: Can LLMs Write Efficient Code Across Architectures?
- Structure-Aware Prediction of PROTAC-Mediated Protein Degradability via Graph Neural Networks
- SpliceBind: Isoform-Aware Prediction of Binding Pocket Druggability
- Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition
- KForge: LLM-Driven Cross-Platform Kernel Generation for AI Accelerators
- Hand Trajectory Fusion for Egocentric Natural Language Query Grounding
- Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries
- Fast-dLLM++: Fr'echet Profile Decoding for Faster Diffusion LLM Inference
- Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt
- From Non-Convex to Strongly Convex: Curvature-Adaptive FTPL for Online Optimization
- Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment
- ERP-XTTN: Interpretable Prototype-Guided Cross-Attention for Cross-Subject ERP Classification
- BEAST3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting
- Hierarchical RBF-KAN and RBF-SKAN Architectures for Multidimensional Function Approximation and Random Field Learning
- CAD-to-CT Registration of Cylindrical Objects via Ellipse-Based Axis Estimation
- SaluNet: Enabling Total Plasticity in Normalization-Free Deep Networks
- ATLAS: A Large-Scale Evaluation Benchmark for Adversarial LiDAR Perception
- Pixel Cube: Diffusion-based Portrait Video Relighting Through Realistic Lighting Reproduction
- Any2Poster: Any-Source Poster Generation Across Modalities and Domains
- Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models
- Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
- The Ghost Annotator: a Framework to Explore Human Label Variation in Content Moderation through Conformal Prediction
- Scalable Derivative Gaussian Processes via Exact Gradient Reduction
- Depth from Dual Differential Defocus and Stereo Consensus
- Tiny Collaborative Inference for Occlusion-Robust Object Detection
- Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction
- A Nonmonotone Gradient-Based Algorithm for Symmetric Nonnegative Matrix Factorization and Graph Clustering
- Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels
- LLM-Assisted Reranking to Operationalize Nuanced Objectives in Recommender Systems
- Pathway-Structured Privileged Distillation for Deployable Computational Pathology
- RRISE: Robust Radius Inference via a Surrogate Estimator
- Neural Posterior Estimation for Stochastic Epidemic Models Using Final Outcome Data
- Don't Gamble, GAMBLe: An Analytical Framework for AI-Driven Research Systems
- Forgetting is Not Erasure: Recovering Latent Knowledge via Transport Keys
- Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
- GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning
- RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
- A Systematic Evaluation of Current Architectures in Wind Power Forecasting
- Learning Coherent Representations: A Topological Approach to Interpretability
- Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling
- Large Byte Model: Teaching Language Models About Compiled Code
- An Exploration of Collision-based Enemy Morphology Generation
- Principled Reflection Separation via Nonlinear Superposition and Feature Interaction
- Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing
- Which Defense Closes Which Threat? Attributing OWASP-LLM-Top-10 Coverage and Its Brittleness Under Paraphrasing
- Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors
- Translating Classical Poetry into Modern Prose
- BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
- Recovering Direct Price Effects of Environmental Amenities in Housing Markets: Regression and Causal Machine Learning Model Assessment with Empirical Monte Carlo Simulation
- Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
- Diagnosis of Human Object Interaction Detectors for Real World Educational Applications
- Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction
- QUIVER: Quantum-Informed Views for Enhanced Representations in Large ML Models
- CRAM-ER: Error-Resilient Spintronic Computational Random Access Memory for Scalable In-Memory Computation
- Do Value Vectors in Deep Layers Need Context from the Residual Stream?
- One Transit Is All You Need: Detecting Exoplanets Through Learned Stellar Behaviour with EXOVEIL
- Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers
- Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification
- Representational Capacity: Geometric Limits on Feature Representation in Transformer Language Models
- From Local Training to Large-Scale Mapping: A Comparative Assessment of Machine Learning and Deep Learning for Transferable Satellite-Derived Bathymetry
- Binary Road Surface Classification Using Machine Learning on Production Vehicle Signals During Cruising
- Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks
- Acceptance-Test-Driven Evaluation Protocols for Business-Centric LLM Systems
- Psi-Bench: Evaluating Persona-Sensitive Influencing in Persuasive Dialogues
- On the Persistent Effects of Lexicality in Large Language Models
- Plan2Map: A Multimodal Benchmark for Document-Grounded Geospatial Boundary Reconstruction from Planning Records
- Greener Than Humans? Environmental Attitudes in Large Language Models
- ScoreStop: Gradient-based early stopping using functional score tests
- EntangleCodec: A Unified Discrete Audio Tokenizer via Semantic-Acoustic Entanglement
- Attention Calibration for Position-Fair Dense Retrieval
- AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
- Before Fusion, Ask What to Keep: Contextual Calibration of Multimodal Signals
- Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis
- Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate
- State-Coupled Volatility in Latent Dynamical Systems: Recovery Under Partial Observation
- AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret
- Improvise, Adapt, Overcome: An On-The-Fly Multifidelity Algorithm for Efficient Machine Learning
- CL-DMDF:Dynamic Multimodal Data Fusion Model Based on Contrastive Learning
- Regime-Arrival Uncertainty in Generalization Bounds under Distribution Shift
- Coherent Swap Regret and Channel-Proof Learning
- HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image
- VISReg: Variance-Invariance-Sketching Regularization for JEPA training
- AdaCodec: A Predictive Visual Code for Video MLLMs
- Policy-based Foveated Imaging and Perception
- IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
- Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics
- HERO'S JOURNEY: Testing Complex Rule Induction with Text Games
- Modeling Depth Ambiguity: A Mixture-Density Representation for Flying-Point-Free Depth Estimation
- AFUN: Towards an Affordance Foundation Model for Functionality Understanding
- SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation
- Transferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach
- Tracking the Behavioral Trajectories of Adapting Agents
- Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation
- Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition
- FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes
- ToolFG: Towards Well-Grounded Fine-Grained Image Classification
- A Biconvex Formulation for Stable Transport of Mixture Models with a Unique Solution
- Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
- When Rating Scales Fall Short: LLM-Assisted Discovery of ADHD Signals in Turkish Teacher Narratives
- Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design
- Question-Aware Evidence Ledgers for Video Relational Reasoning
- GloResNet: A lightweight 3D CNN with global topological features for preterm brain injury prediction
- Not What, But How: A Framework for Auditing LLM Responses across Positioning, Generalization, Anthropomorphism, and Maxims
- MORPHOS: Autoregressive 4D Generation with Temporal Structured Latents
- Expressivity of congruence-based architectures for DNNs on positive-definite matrices
- RASER: Recoverability-Aware Selective Escalation Router for Multi-Hop Question Answering
- Towards Multidisciplinary Summarization of Hospital Stays: Efficient Sentence-Level Clinical Provenance Categorization
- X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding
- Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
- Retrieve What's Missing: Coverage-Maximizing Retrieval for Consistent Long Video Generation
- Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers
- MASER: Modality-Adaptive Specialist Routing for Embodied 3D Spatial Intelligence
- AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents
- Speculative Sampling For Faster Molecular Dynamics
- Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior
- Reason-Then-Retrieve for CoVR-R with Structured Edit Prompts and Dense-Sparse Fusion
- HLL: Can Agents Cross Humanity's Last Line of Verification?
- Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback
- PaSBench-Video: A Streaming Video Benchmark for Proactive Safety Warning
- Spatial-Temporal Decoupled Reference Conditioning for Identity-Preserving Text-to-Video Generation
- LLM-Evolved Pattern Generators for Optimal Classical Planning
- On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
- Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization
- Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference
- Spectral Audit of In-Context Operator Networks
- Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
- Edge Prediction for Roof Wireframe Reconstruction with Transformers
- AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
- Explainable Forensics of Manipulated Segments in Untrimmed Long Videos
- TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks
- A Mathematical Conflict Framework for Contextual Data Modulation
- Honey, I Shrunk the Arc de Triomphe!
- WAXAL-NET: Finetuned Edge ASR Across 19 African Languages
- Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models
- PRIMA: Boosting Animal Mesh Recovery with Biological Priors and Test-Time Adaptation
- FOAM: Frequency and Operator Error-Based Adaptive Damping Method for Reducing Staleness-Oriented Error for Shampoo
- Minimax-Optimal Policy Regret in Partially Observable Markov Games
- Do Multimodal Agents Really Benefit from Tool Use? A Systematic Study of Capability Gains
- Multi-modal Video Representation Alignment for Robust Self-supervised Driver Distraction Detection
- Local Preferential Bayesian Optimization
- TROPHIES: Temporal Reconstruction of Places, Humans, and Cameras from Multi-view Videos
- VEDAL: Variational Error-Driven Asynchronous Learning for 3D Gaussian Splatting Pruning
- Doing well with less! On Sampling Techniques for Empirical Pairwise Loss Estimation/Minimization
- Detecting Pen-In-Air States from Video: A Proof-of-Concept Toward Complementary Handwriting Analysis
- Parameter-efficient Dual-encoder Architecture with Differentiable Choquet Integral Fusion for Underwater Acoustic Classification
- Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
- Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
- Forget Attention: Importance-Aware Attention Is All You Need
- Riemannian Gradient Descent for Low-Rank Architectures
- Repair Before Veto: Repair-Augmented Constraint Learning for Contextual Decisions
- Repurposing Adversarial Perturbations for Continual Learning: From Defense to Active Alignment
- Measurement Geometry and Design for Trustworthy Generative Inverse Problems
- Quantitative Movement Testing: Measuring Chronic Pain Patient Movements from a Single Smartphone Video
- Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization
- Regularized Large Neighborhood Search
- AI as a Tool for Simulation-Based Experiments in Literary Studies
- Neural Acquisition & Representation of Subsurface Scattering
- DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations
- Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization
- CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation
- Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction
- From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
- A combination of noise and bilateral filters achieve supralinear and scalable adversarial robustness in CNNs
- ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems
- Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
- CEON: Circular Economy Ontology Network
- ResMerge: Residual-based Spectral Merging of Large Language Models
- FW-NKF: Frequency-Weighted Neural Kalman Filters
- ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation
- Towards Resolving Optimization Conflicts Between Image- and Text-Based Person Re-Identification
- A Doeblin-Anchored Contrastive Chart for Learning Markov Transition Kernels
- Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
- Bayesian meta-learning for modeling Alzheimer's disease progression
- Chroma Clues: Leveraging Color Statistics to Detect Synthetic Images
- Network Learning with Semi-relaxed Gromov-Wasserstein
- CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
- Symmetry-Aware 9D Pose Estimation with Sim(3)-Consistent Feature and Spherical Inception Convolution
- Do Gender Cues Affect LLM Value Trade-offs? Evidence from a Controlled Decision Benchmark
- Consistency Training while Mitigating Obfuscation via Rate Matching
- Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
- The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing
- Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
- Closing the Alignment-Maturity Gap in Federated Prototype Learning
- InsightVQA: High-Dimensional Emotion-Cognitive Visual Question Answering Benchmark
- CRAFTQA: A Code-Driven Adaptive Framework for Complex Structured Data Reasoning
- Disentanglement-Based Equivariant Learning for Compositional VQA
- From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation
- EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction
- An Abstract Worlds Semantic Framework for Belief Change Operators
- Multimodal Approaches for Visually-Rich Document Type Classification: A Comparative Analysis
- On the Salience of Low-Probability Tokens for AI-Generated Text Detection: A Multiscale Uncertainty Perspective
- Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel
- S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
- Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages
- Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics
- TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version
- VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
- Edge-aware Decoding for Neural Asymmetric Routing
- Rethinking Evaluation Paradigms in IBP-based Certified Training
- Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization
- Understanding-Enhanced Model Collaboration for Long-Tailed Egocentric Mistake Detection
- ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting
- Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
- When Tabular Foundation Models Transfer Across Modalities: A Systematic Evaluation Across 95 Datasets, 7 Modalities, and Two Regimes
- It does what it says on the tin: safe synthetic data from coarsened margins
- PortBERT: Navigating the Depths of Portuguese Language Models
- WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos
- The Role of Ambiguity in Error Prediction via Uncertainty Quantification
- LALE: Lightweight-Transformer Architecture for Land-Cover Estimation
- Decision-calibrated prediction sets for robust power system operations
- FACT: A Simple and Efficient Framework for Active Finetuning
- Beyond ℓ2-norm and ℓ_∞-norm: A Curvature-Inspired ℓp-Norm Scheme for Deep Neural Networks
- Planar Symmetric Pattern Generation
- Fast and Lightweight Novel View Synthesis with Differentiable Multiplane Image
- TIDES: Time-Derivative Event Simulation via Deformable Reconstruction
- Query-Limited Community Recovery in Stochastic Block Models
- Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties
- Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
- Quantifying and Mitigating Domain Shift in Peach Leaf Damage Classification: Attention Mechanisms and Fine-Tuning Strategies
- Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning
- Uncertainty-Aware Graph Neural Reconstruction of Urban Temperature Fields from Sparse Sensors under Deployment Constraints
- RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network
- World-Task Factorization for Robot Learning
- Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association
- PerBite: A Curated Diagnostic Workflow for Bite-Aware Food Volume Estimation
- PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
- Evaluating Real-World Generalizability of Algorithm Selection Models
- Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for French
- Provable Data Scaling Law for Meta Learning via Complexity Minimization
- Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling
- Parameter-Efficient Adaptation of a Multi-Stream Vision-Language Framework for Blind Image Quality Assessment
- Why Do Time Series Models Need Long Context Windows?
- A Structured Benchmark for Text-Guided Anomaly Detection: When Language Stops Conditioning the Decision
- Graph Edit Distance Formulation for the Vehicle Routing Problem: Theory and Analysis
- An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification
- Generalization Limits in Vehicle Re-Identification
- Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks
- A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation
- Training Prompt Matters: State-Adaptive Optimization for Robust Fine-Tuning
- Eyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading
- Contrastive Augmented Transformer with Domain-specific Enhancement for Robust Multi-scenario Metal Surface Defect Detection
- Flow-Transformed Implicit Processes for Function-Space Variational Inference
- Rank-Constrained Deep Matrix Completion for Group Recommendation
- Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks
- Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization
- SCAPO: Self-Supervised Category-Level Articulated Pose Estimation from a Single 3D Observation
- SAVMap: Structure-Aided Visual Mapping of Large-Scale 2.5D Manhattan Wireframes from Panoramic Video
- What to Format and How: A Benchmark and Workflow Approach for Document Formatting
- VET: A Framework for Analyzing AI Discourse
- Mitigating Bias in Locally Constrained Decoding via Tractable Proposals
- Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time
- Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation
- Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering
- Single-Line Drawing Generation via Semantics-Driven Optimization
- Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space
- Private and Stable Test-Time Adaptation with Differential Privacy
- Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
- KliniskVestBERT: BERT Model Specialised to Norwegian Clinical Texts
- Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation
- RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
- Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation
- Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection
- Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations
- Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation
- MidSurfNet: Learning Face Pairing for Mid-surface Abstraction of Thin-walled CAD Models
- Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation
- Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
- EVA-Net: Subject-Independent EEG Motor Decoding with Video-Derived Motor Priors
- Beyond the Simplex: Balanced Prototype Geometry for Scorer-Agnostic Open-Set Recognition
- G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs
- Deep Learning for Generating Computational PIN-4 Immunohistochemistry Staining from Prostate Biopsy H&E Images
- WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis
- Continual Learning as a Multiphase Moving-Boundary Problem
- Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs
- Boosting Multimodal Federated Learning via Chained Modality Optimization
- Does Compression Preserve Uncertainty? A Unified Benchmark for Quantized and Sparse LLMs via Conformal Prediction
- ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
- RescueBench: Can Embodied Agents Save Lives in the Wild ?
- Mos-Gen: A Generative Molecular Framework for Mosquito Insecticide Design
- Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses
- Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection
- Evaluation of Baseline Methods for IDD-based SSD External Memory Search
- Physics-Guided Attention in a Lightweight TCN for Efficient WiFi CSI-Based Human Activity Recognition
- Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
- Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler
- ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
- TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech
- Hist2Style: Histogram-Guided Stylization with Bilateral Grids
- Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing
- Site4Drug: Predicting Drug-Binding Target Sites with an AI Agent
- "I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise
- Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
- ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference
- MOSS-Audio Technical Report
- Multilinguality of Large Language Models From a Structural Perspective
- Tree-Guided Identify-Then-Exploit: A Unified Framework of Best Arm Identification and Regret Minimization for Dueling Bandits
- Consistency evaluation of benchmarks used for causal discovery
- Stochastic convergence of parallel asynchronous adaptive first-order methods
- Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation
- Structure-Guided Adaptive Propagation for Protein-Protein Interaction Site Prediction
- FLARE: Diffusion for Hybrid Language Model
- EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks
- An Algebraic View of the Expressivity of Recurrent Language Models
- Accelerating Min-Max Optimization via Power-Law Stepsizes
- PillarDETR: YOLO-Backbone and RT-DETR Head for Real-Time 3D Object Detection
- Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
- Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks
- Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness
- SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
- Argument Collapse: LLMs Flatten Long-Form Public Debate
- FlatVPR: Plug-and-play Geo-linear Residual Adapter for Geometric Rectification of Foundation Model Feature Manifolds
- Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization
- Shortcut to Nowhere: Demystifying Deep Spurious Regression
- Post-Deterministic Distributed Systems: A New Foundation for Trustworthy Autonomous Infrastructure
- A Note on Stability for Orthogonalized Matrix Momentum with Client Sampling
- Fair Finetuning Mitigates Distribution Inference Attacks
- Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
- Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
- JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitions
- KDH-CAD: Knowledge-data hybrid CAD learning under data scarcity
- Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
- MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
- Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model
- RCEM: Robust Conversational Search EMbedder in Distributional Shift
- Understanding Identity Continuity in Thermal Video through Scene-Level Consistency
- IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
- RPCASSM: Robust PCA State Space Model For Infrared Small Target Detection
- HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
- Don't Let a Few Network Failures Slow the Entire AllReduce
- Why Do Self-Harm Prediction Models Struggle to Generalise? Lexical and Semantic Variations in Emergency Department Triage Notes
- Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
- Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs
- Data-Automated Policy Learning for Nonlinear Welfare
- MINTS: Minimalist Thompson Sampling
- Physics-Aware Linearized ADMM and Its Unrolling
- Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment
- PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generation
- Conditional Collapse in Sign Language Production: A Diagnostic and a Scaling Argument
- Edge-directed geometric partitioning for versatile video coding
- CanonCGT: Reference-Based Color Grading via Canonical Pivot Representation
- Easier to Mislead Than to Correct: Harmful and Beneficial Revision in LLM Conformity
- AlphaToken: Decoupling Adaptation and Stability for Path-Aware Response Token Valuation in LLM Post-Training
- E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation
- A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation
- Benchmarking LLM-as-a-Judge for Long-Form Output Evaluation
- Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling
- EvoPool: Evolutionary Programmatic Annotation for Label-Efficient Specialized Supervision
- Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval
- Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization
- Paving the Way for Point Cloud Video Representation Learning Using A PDE Model
- Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
- EIVE: End-to-End Instance-Specific Visual Explanations for Detection Transformers
- Second-order consistency for learning chaotic dynamics via randomized Jacobian matching
- Uncertainty-Calibrated Diffusion for Reliable 3D Molecular Graph Generation
- Question Type, Cognitive Load, and CEFR Alignment: Evaluating LLM-Generated EFL Grammar Drill Exercises
- FLAME: Physics-Guided Neural Operators for Onboard Satellite Methane Detection in Hyperspectral Imagery
- Deformable Wiener Filter for Future Video Coding
- VG2GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer
- PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery
- RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
- GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
- Everywhere Learning: Artificial Intelligence with Pointwise Constraints
- Flexible Online Representation Learning Based on Similarity Matching
- CRePE: Convolution-aware Relative Importance in Post-training Pruning with Efficient Search
- PathAR: Structure-First Autoregressive Synthesis of Multimodal Pathology Images
- TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
- Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
- PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencoder
- Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete
- Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors
- Fast Generalization after Interpolation via Critically Damped Momentum Optimization
- TERRA: Task-Embedded Reasoning and Representation Architecture for Cross-Domain Applications
- SkelMo: Universal Skeletal Motion Generation for 3D Rigged Shapes