Papers
Mon 3 Aug 2026
569 papers
- StrataVLA: Hierarchical and Efficient 3D Geometric Grounding for Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Vectorization Of Narrow Matrix Multiplication for Ascend AI Inference AccelerationEfficient LLM inference and serving → Serving systems and request scheduling
- MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering ModelRetrieval-augmented generation → Privacy and security of RAG +1
- Towards the Harness of Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- ADIAS: Automated Design of Interactive Agentic SystemsLLM agents and tool use → Software engineering coding agents
- SubtleTalk: Generating Controllable Weakly-correlated Facial Dynamics for 3D Talking Heads via Residual Flow MatchingDiffusion models → Audio, speech and music
- A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and CombinationLLM safety and security → Vision-language and text-to-image safety
- SABRE: A Multi-Agent Approach for Selecting Out-of-Distribution Detectors Under a BudgetLLM agents and tool use → Multimodal and embodied agents
- ValueFormer: A Causal Transformer Value Function with Stage-Aware Labels for Semi-Autonomous Vision-Language-Action PoliciesVision-language-action models → Reinforcement learning and post-training
- Inverted Detection and Control in Steering VectorsMechanistic interpretability → Activation steering methods
- RealWeather: Realistic and Scene-Faithful Weather Translation with Driving World ModelsWorld models → World models for autonomous driving +1
- SP3O: Reinforcement Learning from Segment Preferences without Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Rubrics as Privileged Information for Open-Ended GenerationKnowledge distillation → On-policy and self-distillation for LLMs
- ATFlash: Per-RoPE-Wavelength Attention Windows for Compute/Memory-Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Aligned in Form, Not in Meaning: The Comprehension - Containment Decoupling of LLM Safety in Low-Resource Bangla Derogatory SpeechLLM safety and security → Safety alignment, refusal and guardrails
- LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction ExtensionLLM agents and tool use → Software engineering coding agents
- AnchorKV: Anchor-Residual KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- VeriTrace: Human-Like Temporal Exploration Completes Agentic Action SpaceLLM agents and tool use → Software engineering coding agents
- GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness AuditsLLM reasoning → Causal reasoning in LLMs
- BAP-SQL: Budget-Aware Observation Planning for Agentic Text-to-SQLLLM agents and tool use → Web, search, and research agents
- BODHI: Do LLMs Branch Out and Discover Heterogeneous Inferences?LLM reasoning → Reinforcement learning for reasoning
- MutMem: Cryptographically Authorized Mutation in Persistent Agent MemoryLLM agents and tool use → Agent threats, guardrails and governance
- CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded ReasoningLLM reasoning → Multimodal reasoning +1
- In-Context Collapse in Vision-Language Models and How to Mitigate it?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Emergence of Biased Consensus in Multi-Agent LLM DebatesLLM agents and tool use → Social simulation and multi-agent debate
- Improved Quantum Algorithms for Reinforcement Learning Under a Generative ModelDeep reinforcement learning methods → Quantum reinforcement learning
- Evading Chain-of-Thought Monitoring Through Model PoisoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- A Hyperfinite Framework for Score-Based Generative ModelingDiffusion models → Diffusion foundations and sampling
- Confident but Unreliable: A Behavioral Safety Audit of Vision-Language Models on Brain MRIMultimodal LLMs / vision-language models → Medical vision-language models
- Stateful Governance for Concurrent Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Everyone Conforms, No One Believes: Pluralistic Ignorance in LLM Agent PopulationsLLM agents and tool use → Social simulation and multi-agent debate
- Quo Vadis, World Modeling?World models → World models for language agents
- Don't Regenerate, Debug: A Domain-Specific Agent for Repairing Near-Miss Hardware OperatorsLLM agents and tool use → Software engineering coding agents
- Steganalysis of Adaptive Covert Collusion in Tool-Using Agent Populations: A Black-Box, Cross-Principal ApproachLLM agents and tool use → Agent threats, guardrails and governance
- Output-Aware Rotation for INT2 KV-Cache QuantizationEfficient LLM inference and serving → KV cache quantization
- PolicyGuard: Prompt-Configurable Semantic DLP for LLM Coding AgentsLLM agents and tool use → Agent threats, guardrails and governance
- S3: Improving Agent Safety through Multi-Stage DefenseLLM agents and tool use → Agent threats, guardrails and governance
- Safety in Batches? Understanding and Mitigating Safety Failures in Batch PromptingLLM safety and security → Safety alignment, refusal and guardrails
- TraceCompiler: Skill-Guided Mining and Compilation of LLM Agent Traces into Mostly Deterministic WorkflowsLLM agents and tool use → Software engineering coding agents
- WorldExam: Benchmarking World Models from Apparent Appearance to Inherent ReactivityWorld models → Video-generation world models and simulators
- AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language ModelingDiffusion models → Discrete and text diffusion
- GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- UEmbed: Unified Sparse and Dense Multimodal EmbeddingsRetrieval-augmented generation → Generation and context integration
- ACEM: A Cost Estimation Model for Agentic Software EngineeringLLM agents and tool use → Software engineering coding agents
- CoWAM: Coordination Contracts for Selective Policy Intervention with WAMsWorld models → Embodied and robot world models
- Noise in Diffusion Models Is a Learnable InputDiffusion models → Diffusion foundations and sampling
- AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane PoliciesLLM agents and tool use → Software engineering coding agents
- Structured Memory for Edge Language Models: Persistent Context and Corpus Retrieval via O(1) SSM State InjectionRetrieval-augmented generation → Generation and context integration +1
- A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Analytic Planning under Uncertainty with Moment ClosureDeep reinforcement learning methods → RL theory and sample complexity
- RoMeRL: Balancing Feedback Coverage and the Memory-Reward Trap in Self-Evolving Agent Memory via Reduced-Order Utility StatesLLM agents and tool use → Agent memory systems +1
- Token Radius Attention for Efficient Video GenerationDiffusion models → Video generation
- CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum OrthogonalizationDiffusion models → Diffusion foundations and sampling
- SWE-Touch: Benchmarking Coding Agents When Users Touch the CodeLLM agents and tool use → Software engineering coding agents
- Grounded Semantic Re-Binding for Robust Instruction Generalization in Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- Computational and Statistical Guarantees of the textitc-Rectified flowDiffusion models → Flow matching, time series and science
- Cultural Awareness is Represented but Not Decoded: Tracing Mythological Knowledge across 18 Open-Source LLMsMechanistic interpretability → Knowledge and representations inside LLMs
- EchoCache: Energy-Guided Cross-Modal Caching for Efficient Audio-Driven Video GenerationDiffusion models → Video generation
- Grounding Agentic VLMs with Dedicated Segmentation for Fine-Grained Vehicle Damage AssessmentLLM reasoning → Multimodal reasoning +2
- Real-Time Detection and Repair of LLM Agent FailuresLLM agents and tool use → Software engineering coding agents
- Infinite Trace Objectives with Finite Trace Techniques: Translating LTL to LTLf+Deep reinforcement learning methods → Interpretable and logic-guided RL
- MoRAL: Sensor-Grounded BEV Reasoning for Compact VLMs toward Edge-Oriented Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- Advancing Relevance Measurement with Vision-Language Models for Web-Scale SearchMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- ParEvalLayer: When Partial LLM-Agent Evaluations Support a DecisionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Right Answer, Wrong Method: Shortcut Hacking Misleads the Evaluation of LLM Reasoning on Frontier Science BenchmarksLLM reasoning → Mathematical reasoning
- Agentic Commerce World: An Auditable and Verifiable Environment for Vibe CommerceLLM agents and tool use → Social simulation and multi-agent debate
- xPress: Parallel Refinement for Diffusion Drafters in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Foundations of Reinforcement Learning and Control:Connections and New PerspectivesDeep reinforcement learning methods → RL theory and sample complexity
- DF3: World Modeling via Decoder-Free Feature Forecasting in Autonomous NavigationWorld models → World models for navigation
- Agentic Incident Response through Digital Twin-Enhanced Multiscale PlanningLLM agents and tool use → Agent threats, guardrails and governance
- Antares: Foundation Models for Agentic Vulnerability LocalizationLLM agents and tool use → Agent threats, guardrails and governance
- A Unified Kullback--Leibler Divergence Analysis of Generative Diffusion Models via Entropy Production RateDiffusion models → Diffusion foundations and sampling
- USP-Mamba: Unmixing-Derived Spectral and Structural Prompting for Hyperspectral Image Super-ResolutionState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Cooperative Coevolution for Resource-Constrained Agentic LLM Post-TrainingLLM reasoning → Reinforcement learning for reasoning +1
- Chess on Ice: Curling Tactical Decision-Making via Backward Induction and Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Faster-WAM: Do World Action Models Need Deep Action Modules?World models → Embodied and robot world models
- ScrambleToolBench: Agents Search Exhaustively Even When Their Own Map Points to the Next StepLLM agents and tool use → Tool learning and function calling
- SkillTrace: Traversing a Query-Skill Graph for Composable LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Global Optimization and Inference-Time Region Grafting for Agentic WorkflowsLLM agents and tool use → Software engineering coding agents
- KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model ImprovementLLM agents and tool use → Web, search, and research agents
- Mamba with Hierarchical Memory: Solving Representation Bottleneck in Long Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Loop-Mamba: A Loop Mamba with Degradation-Aware and Shared Memory for Old Photo RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
- Can AI Agents Simulate A/B Test Outcomes? A Validation Framework for Agentic ExperimentationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Diffusion Policy with Behavioral Advantage Correction for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- ChainVLA: Chaining Vision-Language-Action Queries through a Unified Execution State for Long-Horizon ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- MechGeo: Autoformalizing and Proving Euclidean Geometry in Lean 4LLM agents and tool use → Educational agents and math problem solving
- SKT: Skill-Use Training at Scale via Verified Synthetic Data GenerationLLM agents and tool use → Agent skill learning and evolution
- Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure TrajectoriesLLM agents and tool use → Software engineering coding agents
- Open-Set Visual Text Forensics via Sparse-Constraint Rectified FlowDiffusion models → Image generation, text-to-image and editing
- Learning Panorama-Aware VLA for Mobile Manipulation with Whole-Body TeleoperationVision-language-action models → Human-video and latent-action pretraining
- HarMoE: Multi-Source Chest Radiograph Pretraining with Dataset-Disentangled ExpertsMultimodal LLMs / vision-language models → Medical vision-language models
- Efficiency and Cost Alignment in Batched LLM Serving via Resource-Fair SchedulingEfficient LLM inference and serving → Serving systems and request scheduling
- PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready OutputsLLM agents and tool use → Multimodal and embodied agents
- VC-Tooler: Learning Compositional and Adaptive Visual Tool UseLLM reasoning → Multimodal reasoning +1
- Local Margin Restoration for Test-Time Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Look Where It Matters: Adaptive Visual Refinement for Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Microscopic dynamics of consensus formation in multi-agent LLM Naming GamesLLM agents and tool use → Social simulation and multi-agent debate
- CARNet: Channel-Adaptive Receiver Network for Robust NextG CommunicationsMixture-of-experts → Expert routing strategies
All 569
- From Profiling to Synthesis: Benchmarking Implicit Behavioral Alignment in Personalized LLM AgentsLLM agents and tool use → Agent memory systems
- Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional FingerprintsKnowledge distillation → Federated, robust and private distillation
- Fourier-Latent Diffusion for Constrained Generation of Triply Periodic Minimal SurfacesDiffusion models → Flow matching, time series and science
- PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMsWorld models → Latent predictive world models
- Beyond the Mean: Multi-Moment Policy Optimization for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Self-Improving Large Language Models via Progressive Experience EvolutionSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Two Sides of the Same Coin: Co-Evolving Search for Cross-Task Attacks on Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Messages, Not Tokens: Grounded Coresets for Faithful VLM CompressionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- HAFI-VLM: A Frequency Perspective for Diagnosing and Enhancing Visual Perception in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- From Chains to Trees: Parent-Conditioned Drafting for Semi-Autoregressive Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
- IACM-RL: Intent-Aware Context Management and Reinforcement Learning for Complex Tool Invocation under Dynamic Intent FluctuationsDeep reinforcement learning methods → RL training of language and agent models
- Same Semantics, Different Paths: Self-Improving Alignment for Vision-Text CompressionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Cross-Domain Hybrid OPD for Generalizable Search AgentsLLM agents and tool use → Web, search, and research agents +2
- How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Instruction-Conditioned Exploration for Reinforcement Learning with Self-Distillation to an Unconditioned PolicyKnowledge distillation → On-policy and self-distillation for LLMs +1
- CAVE: Competence-Aware Visual Boundary Evidence Alignment for Video Temporal GroundingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG DecodingMixture-of-experts → Medical and biomedical MoE
- Open-DiffLoco: Open-Source Differentiable Learning for Deployable Blind Quadruped LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MIEScore: Human-Aligned Evaluation for Multi-Source Image EditingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- SCOPE: Entanglement Frontier Escape for Source-Free Class UnlearningLLM safety and security → Machine unlearning
- RSVideo: Are Your Vision-Language Models Ready for Remote Sensing Videos?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- DART: Decoded Attention over Recurrent States for Efficient Long-Context Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- HPFA: Hypergraph-Based Paired Failure Attribution for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- EduZone: A Framework for Evaluating LLM Safety for K-12 Students and TeachersLLM safety and security → Safety alignment, refusal and guardrails
- Invisible Ink Threats: Adversarial Goals Behind Legitimate Tasks in Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Before Reasoning Can Fail: Pre-Evidence Procedural Failures in Agentic RAGLLM reasoning → Knowledge- and tool-augmented reasoning +2
- HALT: Verification-Aware Stopping for Retrieval-Augmented Search AgentsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Evolving in the Agent Jungle via History-Informed Opponent AwarenessLLM agents and tool use → Agent skill learning and evolution
- TALSC: Timeliness-Aware Large-Small VLM Collaboration for Infrastructure-Assisted Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- Long-Horizon Autonomous Architecture Research with a Language-Model Agent: A Behavioural Case StudyLLM agents and tool use → Agent memory systems
- SPARE: Structural Parameter-Free Affinity Regularization for Flow MatchingDiffusion models → Flow matching, time series and science
- DiffPrune: differentiable information throttling for token pruning in vision-language modelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- AdaThinkV: Adaptive Thinking for Token-Efficient Video ReasoningLLM reasoning → Multimodal reasoning
- ET-Prune: Evidence-Aware Dynamic Budgeting for Visual Token Pruning in Text-Rich MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Proxy Avatar Meets Low-Rank Caching: Real-Time One-Shot Emotion-Controllable Portrait AnimationDiffusion models → Audio, speech and music
- Music Restoration via Latent Operator Optimization and Diffusion Model PriorsDiffusion models → Audio, speech and music
- LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agentic Self-Healing for Data and AI Pipelines: An Affordable Vendor-Agnostic Architecture using Open-Source SoftwareLLM agents and tool use → Software engineering coding agents
- StyleForge: Indoor Furniture Styling by Counterfactual Reasoning in a Hypergraph FieldLLM reasoning → Spatial and embodied reasoning
- Look Ahead Before You Distill: Future Trajectory Validation of Teacher Guidance for Agentic On-Policy DistillationLLM agents and tool use → Reinforcement learning for LLM agents +1
- A Self-Triggered Agentic Push Recommendation SystemLLM agents and tool use → Agentic recommender systems
- Recompute or Reuse? Diagnosing and Mitigating Textual Shortcuts in VLM Self-ReflectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Level Code GenerationRetrieval-augmented generation → RAG for code
- ProWorld: Progress-Aware Hyperbolic World Models for Long-Horizon Visual Goal ReachingWorld models → Latent predictive world models
- TRAM: Enhancing Multimodal Reasoning with Trajectory-Derived Auxiliary MemoryLLM reasoning → Multimodal reasoning
- HarnessCompass: Guiding Automatic Harness Evolution toward Generalizable and Effective Agent HarnessesLLM agents and tool use → Software engineering coding agents
- Finite-Time Analysis of Discounted Exponential-Utility Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- PNEC-Mamba: Prototype-Guided Positive-Negative Evidence Calibration for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search AgentsLLM agents and tool use → Web, search, and research agents +1
- SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth ObservationDiffusion models → Inverse problems and image restoration
- Energy-Efficient LLM Serving via Disaggregated Attention--FFN and Flexible Frequency ScalingEfficient LLM inference and serving → Serving systems and request scheduling
- World Action Models in Real Time: An Empirical Study of Smooth Execution via Asynchronous DeploymentWorld models → Embodied and robot world models
- ReasonCast: Towards Explainable Time Series Forecasting with ReasoningLLM reasoning → Time series reasoning
- CRISP: Critical Step Perception for Training Efficient Deep Search AgentsLLM agents and tool use → Web, search, and research agents
- EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensing Disaster Change CaptioningDiffusion models → Inverse problems and image restoration
- Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Decoupling semantics from vision: A framework for faithful visual-text compression evaluationEfficient LLM inference and serving → Visual token pruning in multimodal models
- HyperAgent4POI: Dynamic Semantic Message Passing on Multi-Agent Hypergraphs for Missing-Modality RecommendationLLM agents and tool use → Agentic recommender systems
- WorldDynCache: Risk-Controlled Latent Dynamics Approximation for Diffusion World ModelWorld models → Latent predictive world models
- PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal AgentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Multi-View Unified Camera Fields: Geometry-Shaped Action-Facing Representations for RGB-Only Multi-Camera VLA PoliciesVision-language-action models → 3D and spatial-aware VLA
- PartMat: Material-Aware 3D Part Decomposition with a Single Global LatentDiffusion models → 3D, point cloud and scene generation
- SearchMaster: Grounded and Regulated Self-Play for Search AgentsLLM agents and tool use → Web, search, and research agents +1
- DAVET: Denoising-Aware Visual Evidence Trajectory Allocation for Diffusion Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent CockpitsLLM agents and tool use → Agent threats, guardrails and governance
- ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly DetectionDiffusion models → Flow matching, time series and science
- Can You Trust the Confidence? ConfBench for Vision-Language Models on Document ExtractionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- PICopilot: An LLM-based Agentic Framework for Assisting Photonic Integrated Circuit Design via Script GenerationLLM agents and tool use → Software engineering coding agents
- REFLEX: Rethinking MoE Inference as Refinement-Aware Compute Allocation in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +2
- FRAMES: Guarded and Dual-Objective Skill Evolution for Agents in Policy-Governed Enterprise WorkflowsLLM agents and tool use → Agent threats, guardrails and governance
- DecoupleGS: Interactive 3D Gaussian Splatting for End-to-End Autonomous Driving TestingEnd-to-end autonomous driving → Generative simulation for driving
- Benign Alone, Harmful Together: Exploiting Experience Composition in Self-Evolving LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMsLLM reasoning → Chain-of-thought reasoning for driving +3
- Can Urban Blight Be Accessed with Vision-language Models: A Case Study in DetroitMultimodal LLMs / vision-language models → Agricultural vision-language models
- RL-Lock: Reinforcement Learning for Generating Interlocking AssembliesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM AgentsLLM agents and tool use → Agent memory systems
- Disagree to Accelerate: Closing the Loop on Diffusion Feature ForecastsDiffusion models → Diffusion foundations and sampling
- CoEvo-Mem: Co-Evolving Retrieval Policy and Memory Bank for LLM AgentsLLM agents and tool use → Agent memory systems
- X-KGRank: A Knowledge Graph RAG Framework for Explainable Recommendations via Pattern Mining and LLM Re-RankingRetrieval-augmented generation → RAG for recommendation
- MNC: Scope-Bound Semantic Declassification for Private LLM-Agent CommunicationLLM agents and tool use → Agent threats, guardrails and governance
- LaCache: Robust Semantic Caching for LLM ServingEfficient LLM inference and serving → KV cache optimization
- Beyond On-Policy Exploration: Integrating External Policy Rollouts for Reinforcement Learning in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Coding Agents as Test-Suite Auditors: Finding What Official Suites Miss While Approaching What They CatchLLM agents and tool use → Software engineering coding agents
- Constructing Executable Analytical Knowledge Representations for Meta-Analysis Synthesis Using an Agentic HarnessLLM agents and tool use → Web, search, and research agents
- Beyond Single-Use Tokens: Durable Authorization State for Replay-Resistant LLM Agent ActionsLLM agents and tool use → Agent threats, guardrails and governance
- SpatialQuery: Benchmarking Geometry-Grounded Multi-Instance Spatial Reasoning in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- PGMem: Tightly Coupled Persona-Memory Graph for Lifelong Personalized AgentsLLM agents and tool use → Agent memory systems
- Beckmann Transport Models: From Autonomous Flows to One-Step MapsDiffusion models → Flow matching, time series and science
- GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis TasksLLM agents and tool use → Web, search, and research agents
- When Memory Becomes Authority: Benchmarking Authority Collapse at the Memory Consolidation BoundaryLLM agents and tool use → Agent memory systems
- Progressive Agent Skill Generation via Reinforcement LearningLLM agents and tool use → Agent skill learning and evolution +1
- TCPO: Turn-Level Credit Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Allocation Before Ranking: Decoupled Token Compression for OmniLLMsEfficient LLM inference and serving → Audio and omni-modal token compression
- FAU at ImageCLEF 2026 Task on Multimodal Reasoning Robust Candidate Scoring and Concise Multilingual Visual AnsweringLLM reasoning → Multimodal reasoning
- SyncPlan: Long-Horizon LLM Coordination with Explicit Synchronization and Adaptive CorrectionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Bole: Efficient Tree Speculation for Hybrid-Attention Language ModelsEfficient LLM inference and serving → Speculative decoding
- GISAgentBench: A Practitioner-Sourced Benchmark for Evaluating LLM Agents on GIS TasksLLM agents and tool use → Multimodal and embodied agents
- CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Dynamic Resolution Routing for Efficient Egocentric GroundingEfficient LLM inference and serving → Visual token pruning in multimodal models
- Salami Attack: Stealthy Collusive Memory Poisoning against OpenClawLLM agents and tool use → Agent threats, guardrails and governance
- Mitigating Visual Degradation in MLLMs via Spatial-Spectral Visual Anchor LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Does Accuracy Equal Evidence? Reasoning Faithfulness under KV Cache CompressionEfficient LLM inference and serving → Efficient reasoning and agent inference
- RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge InjectionRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Human-LLM Alignment in Language Attitudes Toward Non-Native JapaneseLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SMM Transformer: Leveraging Spiking Neural Networks for Multimodal TasksMixture-of-experts → Multimodal MoE models
- When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent ResponsesLLM agents and tool use → Agent memory systems
- Linear Multi-Timescale Retention as a Memory-Efficient Vision-Language BridgeMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- HindSearch: Trajectory-Level Hindsight Critique for Search-Augmented Reinforcement LearningKnowledge distillation → On-policy and self-distillation for LLMs +1
- Latent Thought Credit: Multi-Answer Credit Assignment for Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- Is More Privileged Information Better? From Solution Traces to Problem-Solving Structure in Self-Distilled ReasoningKnowledge distillation → On-policy and self-distillation for LLMs
- Measuring in-context algorithmic reasoning in language models against an exact Bayes-optimal referenceLLM reasoning → Test-time compute and efficient thinking
- Uncovering and Mitigating Positional Blind Spots in Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- FedWorld: Scope-Aware Federation of Agent World ModelsWorld models → World models for language agents +1
- Securing Agentic AI: From Per-Action Checks to Trajectory AssuranceLLM agents and tool use → Agent threats, guardrails and governance
- Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group-Debiased Federated LearningLLM reasoning → Reinforcement learning for reasoning +1
- Large Language Models Exhibit Human-Like Bayesian Hypocrisy
- ToW3D: Consistency-aware Interactive Point-based Mesh Editing on GANs
- Small Enough to Know Everything: The Fully-Enumerable Transformer as an Instrument for the Science of Delayed Generalization
- Domain-Adaptive ASR for Telephony AI Agents: Fine-tuning Canary Flash Models for Enterprise Contact Center Applications
- ODG-NoMaD: Overhead-Camera Direction-Guided NoMaD
- When AI Writes, Who Gets Cited? Evidence of Citation Monoculture Across Language Models
- Language Models for Portuguese: A Systematic Mapping Study
- Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection
- A Human Audit of OpenAIs AI-Generated Mathematical Proofs
- Continual Evolution Strategies in Control Tasks
- EvoGraph-Mem: Failure-Aware Editable Graph Memory for Long-Term Language Agents
- Conformity Mitigations in Large Language Models Lie on a Single Resistance-Receptivity Frontier
- Temporal Generalization in fNIRS-Based Autism Classification: A Cross-Time-Window Transfer Benchmark
- The Field Knows: Cross-Dimensional Geometry from Navigation to Black Holes
- What to Edit Next: Visually Aligned Image-Editing Follow-Up Suggestions in Conversational Systems
- Coarse-to-Fine Registration of Jawbone CT and Intraoral Scan Data Using GeDi and ICP with Pseudo-IOS Ground Truth
- Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models
- TransSLR: A Lightweight Transformer for Sign Language Recognition
- Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery
- UAV3DCrop: Benchmarking 3D Reconstruction in Repeated Multi-Angle UAV Crop Surveys
- CLARA: Clarification of Language Ambiguity through Result Analysis for Natural-Language Cancer Genomics Queries
- Reconstructing Persistent Worlds from Narratives for Narrative-Grounded Interactive Experiences
- CheckOne: Lightweight Fault Detection and Mitigation for Vision Transformers
- Every Wrong Answer Counts: Option-Level Psychometrics for LLM Multiple-Choice Benchmarks
- A Physics-Informed Hybrid Neural Operator for Transient Magnetization Prediction in Power Magnetics
- Material-Segmented Per-Pixel Emissivity Correction for Thermographic Anomaly Detection in Cultural Heritage Digital Twins
- Scaling an Autoregressive Transformer for Single-Cell Generation
- Chat Debugging: An Exploratory Study of Human-AI Collaboration to Debug Analog Circuits
- Schedule-Informed Temporal Fusion Forecasting of Hourly Airport Security-Checkpoint Throughput
- On the missing data layer and a potential solution
- Sedentary Behavior Classification for Wearable Sensors with a CNN-BiLSTM Model
- When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning
- Federated generative event models for tokenized electronic health records
- When Should Graph Attention Be Sparse? Learning a Per-Edge Tsallis Index
- ScoreField: Neural Inverse Scattering with Score-Based Generative Priors
- Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective
- Hypercubes, Hyperplanes, and Constraint-Induced Complexity Collapse in Atomic Concept Learning
- Calibrated Bayesian Inference for Stochastic Intervention Effects
- FLARE: Few-shot Learning-based Adaptive Reflective Engine
- Forecasting Revenue with its Customer-Base Drivers: When and Why Coordination Helps
- When Predictions Become Regressors: A Split-Sample Correction for Biases in Downstream Inference
- Bayesian Data Reweighting Improves Multimodal Retrieval for Knowledge-Based Visual Question Answering
- Robust Counterfactual Policy Optimisation via Nondeterministic Causal Models
- Modeling Scientific Experiment Scenes: Dataset and Model
- Population-Robust Feature Selection via Generalized Welfare Optimization
- Test Time Adaptation Methods for Point Cloud Registration in Laparoscopic Surgery
- Field-Aware Agent Skill Retrieval
- Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes
- Maglev: Sliding Recurrent Memory
- Contrast-invariant deep ptychography neural networks
- Adaptive Sampling for Automated Post-Disaster Rapid Damage Assessment via Level-Set Cost-Aware Bayesian Optimization
- NOMADD: Numerical Optimization of Models Adapting to Data Drift
- Particle-based Generalised Stochastic Optimisation
- Localize, Don't Beautify: Client-Side Control of Image-Editing APIs for Cosmetic Surgery Previews
- A Human-in-the-Loop Deep Learning Framework for Color Reconstruction of Lenticular Films
- Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning
- Wiring Beats Blending: Structure-Aware Compensation for Transformer Downscaling
- Topological Simplification in Predictive Coding Networks
- Learning a Vector-Symbolic Model for Socio-Cultural Tasks
- Fast Object Removal Attacks on Safety-Critical Video-based Perception Systems
- A Unified 2D Framework for DeepLesion Detection, Segmentation and Short Report Generation
- Detecting high-frequency brain disorder signals using dynamic mode decomposition from EEG
- SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology
- PixelUp: Zero-Shot Semantic Feature Upsampling for Fine-Grained Vision Tasks
- Better, Stronger, Faster, and Broader: Structured All-Mask Prediction for MLLM-Based Segmentation
- Evaluation Blindness: How Silent Measurement Failures Corrupt AI Systems from Training to Deployment
- Neural Networks with Local Converging Inputs for Efficient Options Pricing Models
- Tight Information Complexity of the Coin Problem in the Broadcast Model
- Towards a new paradigm of scientific discovery with socialized artificial intelligence
- Privacy-Preserving AI Verification via Minimal Information Disclosure
- DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing
- Oh Deer, How Should I Handle This? Seasonal Priors for Selective Wildlife Annotation and Classification
- Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents
- Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing
- Escaping Oversquashing: Addressable and Support-Aware Global Memory for Message Passing Networks
- Can Training Logs Make Model Comparisons More Precise?
- Predictive Set Theory: A Generative Framework for Cognitive Architecture with Operationalized Core Mechanisms
- ARCHead: Activation-Metric Residual Correction for Large Language Model Output Heads
- NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory
- Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap
- Measuring Explainer Stability via Attribution Separability
- Stylometric Defenses Against Author Impersonation in Software Repositories
- Crayotter: Learning Long-Horizon Video Editing Agents via Group-Relative Preference Backpropagation
- PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks
- GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection
- Stuck on "A": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model
- Learning Molecular Representations from Cellular Phenotypes with Structure Preservation
- BulkPR-Bench: Benchmarking Queue-Level Governance of Interacting Pull Requests
- A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models
- Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework
- VR3D: View-Robust 3D Representation Learning for Aerial-Ground Person Re-Identification
- onepot-Bench 0: towards lab-aware in silico chemistry benchmarks
- CAPEval: A Decoupled Caption Evaluation across Understanding and Generation
- The Condition-Number Barrier in Sparse Least Squares
- Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration
- ReMiX-MAE: Learning Missing-Channel Cross-Modal Representations from RGB-Only Clinical Facial Videos for Sympathetic-Mediated Pain Assessment
- Benchmarking Sheaf Neural Networks for Inductive Tasks
- Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation
- Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation
- Estimating SSIM from MSE for DCT-Based Compressed Images via Modeling Local Error Statistics
- A Simple Approximation to the Distribution of the Ridge Regression Estimator
- Interaction Is Not Necessary for Order-Optimal 1-Bit Mean Estimation
- Optimal Unambiguous DNFs and Alon-Saks-Seymour
- Uncertainty Is Not Enough: Value-of-Information Routing for Mixtures of LoRA Experts
- MedPRESS: A Multi-turn Benchmark for Patient-Pressure-Induced Medical Sycophancy in LLMs
- Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation
- LiveMem: Maintaining Memory State Continuity in Long-Running LLM Inference
- Optimizing Minimax Regret in Uncertain MDPs with Small Sets of Policies
- Beyond Modern Asymptotics for Log-Likelihood Ratios in Logistic Regression
- Abduction Without a Body? Representational Grounding and the Abduction Loop for Scientific Hypothesis Generation
- DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with Label Disambiguation
- Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions
- Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification
- Private Generative Bootstrap via Blocking
- CTRAG: An In-Context Retrieval-based Framework for Automated Compliance Checking using LLMs
- Action-grounded tissue affordance enables anticipatory auto-framing that lowers surgeon cognitive workload during laparoscopic surgery
- Calibrated Similarity and Graph Clustering for Open-Set Animal Re-Identification
- ISRS-DETR: Detection-Guided Click Propagation for Remote Sensing Interactive Segmentation
- Syntax Meets Semantics: Understanding Scientific Formulae
- Aggregate-then-Calibrate for Human-centered Assessment with Theoretical Guarantees
- UAV-Based Environmental Monitoring of Rip-Current Indicators Using Wavelet-Derived Texture Features
- Intention Inference Under Execution Noise: Separating Aleatoric and Epistemic Uncertainty in Social Dilemmas
- InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis
- Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning
- Wasserstein mixing time of the unadjusted Langevin algorithm
- Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes
- Why Large Language Models Fail at Tabular Prediction
- Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives
- MonitrLLM: A Community-Centered Evaluation Infrastructure for Large Language Models
- Deep Learning-Based Estimation of Ground Reaction Forces in Parkinsonian Gait Using an Optimized Set of IMU Data
- Loggia dei Lanzi: AI Thermography Enhancement Comparisons through 3D Photogrammetry
- From fragmented data to actionable design: Physics-calibrated learning for plastic upcycling
- Network Information Enhances Unreliable News Domain Detection
- Can Foundation Models Hear What Made That Sound? A Tiered Benchmark of Audio-Language Models and Traditional Classifiers for Closed-Set Sound Source Identification
- Does Explainability Transfer? A Controlled Benchmark of Attribution Methods on Vision Transformers and CNNs
- GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience
- Gecko: Fast Private Inference via Secure Public Encoder Offloading
- Token-Native Storage: Read and Write in your Agent's Language
- A Spectral Filtering Approach to Regret Analysis of Distributed Online Control for Linear Dynamical Systems
- PredAct-Bench: Benchmarking Tool-Augmented Dialogue under Controlled Tool Noise
- GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation
- Fast and Accurate Quotation Attribution in Literary Texts
- Qwen-CUA: Native Computer Use for (almost) Everything
- Self-Supervised Representations for Binary Program Clustering: From Empirical Study to Retrieval-Augmented Learning
- Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection
- Context-Aware Mixture of Domain Experts for Bodily Expression of Emotion in the Wild
- Implicit Neural Representations for Multimodal Longitudinal Image Imputation and Interpolation
- Global-Scale Self-Supervised Spatiotemporal Learning for NDVI Time-Series Reconstruction
- FastGFDs: Efficient Validation of Graph Functional Dependencies with Desbordante
- TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks
- GEOID-Flood: A Large-Scale Multi-Modal Benchmark Dataset for Flood Segmentation
- An Evidence-Grounded Retrieval-Augmented Transformer Framework for Health Misinformation Verification
- CalibBEV: LiDAR-Camera Calibration via BEV Alignment
- The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes
- BRiG-AFA: Bellman Risk-to-Go Learning for Non-Myopic Active Feature Acquisition
- TRACE: Ergodic Trajectory Optimization for Active Scene Reconstruction
- Trajectories That Segment Themselves: Agent-Declared Boundaries as a Training Unit
- A General-Purpose VLM Can Teach an Astronomy Foundation Model to Better Recognize Galaxy Morphology
- Shared Prefixes, Better Credit: Adaptive Routing for Multi-Agent Reasoning
- SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning
- Extended Field of View Analysis for VideoGAN-based Trajectory Generation
- Sen-Cap: Sensor-Flexible and Noise-Resilient Human Motion Capture via LiDAR-Camera Integration
- EOVSAM: Efficient Open-Vocabulary Segmentation with SAM 3 in One Pass
- A Multi-Objective AutoML-based Efficient Intrusion Detection System for EV Charging Networks
- Z-PEFT: Zero-shot Backdoor Detection in Parameter-Efficient Fine-Tuning via Canonical Spectral Signatures
- TS-MAMP: A Remanufactured Agricultural Robot with Second-Life EV Components and NMS-Free On-Device Weed Detection
- Self-Certification of Representation Adequacy: Sequential Certification at Minimum Task Loss
- Homebot: A Personal AI Agent for Conversational Home Assistance and Automation
- Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning
- An Accessible Solution for Deformable Image Registration Compared with Learning-Based Approaches
- Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability
- GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition
- Domain-Specific Evaluation of Text-to-Speech Systems: A Multi-Metric Benchmarking Study
- Constrained Co-Design for Photonic Bayesian Neural Networks
- CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning
- VARPose: Flexible 2D Pose Densification via Visual Autoregressive Modeling for Enhanced 3D Lifting
- Fast Discovery of Inclusion Dependencies with Desbordante
- Self-supervised DXA representations encode multi-system disease risk, biological aging and heritability
- CLEAR: Conflict-aware Learning via Evidence-guided Adaptive Routing for Unified Sparse-View 3D Gaussian Super-Resolution
- RSC-GestureNet: Reliability-Aware Selective Causal Recognition of Chinese Traffic Police Gestures
- T2exture: Sparsely Perturbed Thermal-to-Texture Imaging
- DerainSplat: Feed-Forward Clean 3D Gaussian Splatting from Sparse Rainy Views
- Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval
- SPIRIT: Spatio-temporal Pairwise Relational Modeling of Instrument-Tissue Interactions for Surgical Action Triplet Recognition
- PAC Approximation and DIRECT Optimization for Parametric Markov Models
- SWINSleepNet: A Hierarchical Context-Aware Framework for Sleep Staging (v2)
- Start Classifying: Categorical Critics for LLM Reinforcement Learning
- GSRAIN: Physically Calibrated High-/Low-Frequency Rainfall Synthesis for 3D Gaussian Driving Scenes
- Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds
- Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning
- From Simple QA to Deep Research: A Verifiable Benchmark Constructed through Iterative Task Evolution
- Lossless Tensor Compression as Program Synthesis
- AdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector
- RamanPFN: learning from Raman spectral structure with a tabular foundation model
- Douyin Multimodal Embedding Model Technical Report
- UniqueSplat: View-conditioned 3D Gaussian Splatting for Generalizable 3D Reconstruction
- Quaternion Tensor Modeling for Joint Color-Polarization Demosaicking
- Beyond Solution-Centric Search: Adaptive Inquiry and Knowledge Revision for Autonomous ML Engineering
- HiResNets: Native Full-HD Video Recognition with Foveal Residual Streams
- The Role of Disfluencies in Speech Translation
- Cardiovascular Digital Twins from Physics Based to Data Driven Approaches
- PromptPath: Prompt-Adaptive Computational Pathways for In-Context Learning
- CoRe-GNN: Multilevel Message passing on Coarsened graphs
- Do Static Embeddings Add Value to Hybrid Dutch Retrieval?
- Uncertainty-Aware Crossmodal Fusion for Classification of Animal Behavior
- From Information to Delegation: Mapping Human-AI Financial Decision Making
- DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization
- Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents
- Deep Multimodal Fusion Detection through Spatial Mask and Channel Competition
- One QK Channel, Many Sources: Tracing Low-Precision Attention Collapse
- An AI-Based Decision-Support Pipeline for Day-Ahead Photovoltaic Forecasting
- Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context
- A 2-Block Architecture for Real-Time EEG Gait Decoding: A Pilot Study
- Isotonic Bradley-Terry Model for Paired Comparison Data
- Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input
- Feed-Forward Steering in Transformer Residual Dynamics
- GIFT: Geometry-Invariant Fine-Tuning for Non-Lambertian Monocular Depth Estimation
- Geometry-Guided Layerwise FFN Width Allocation in Transformers
- Cross-Fitted Residual Utility for Primary-Preserving Cognitive Decision Correction in Automatic Modulation Classification
- A Comparative Analysis of MLP and Kolmogorov-Arnold Networks (KAN) for Faster-than-Nyquist (FTN) Signaling Detection
- TBSG-Net: Temporal Bipartite Scene Graph Network for Fine-Grained Video Moment Retrieval
- Protocol generalisation for brain tissue microstructure estimation via hypernetwork-controlled geometric deep learning
- Secrets Everywhere: Auditing Memorization in Mobility Prediction Models
- TextNCA: Neural Cellular Automata for Language Modeling via Hierarchical Local Attention
- Adaptive Reconstruction of Bosonic Quantum States
- CompanionBench: A Theory-Anchored, Real-World-Grounded Benchmark for AI Emotional Companionship
- Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation
- D'ej`a Cue: Localizing States in Object Histories via Vocabulary-Relative Coordinates
- Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees
- Learning-Based Collaborative MEC for LLM Inference with Soft-Deadline Awareness via Transformer-Enhanced PPO
- Scikit-fingerprints: Python library for scikit-learn compatible molecular fingerprints and chemoinformatics
- Beyond Global Latents: Chunk-Based Sparse Grid VAE for Scalable 3D Modeling
- MANGO-Grasp: Mahalanobis Fields over Geometry-Oriented 3D Gaussians for Cross-Embodiment Dexterous Grasping
- ASTRA: Asynchronous Spatio-Temporal Reconstruction via Trajectory Alignment
- AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization
- Grounding and Explaining Visual Evidence for AI-Generated Image Detection in Human-Centric Scenes
- SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation
- Detecting Nonproperness of Likelihood Equations
- TELLER: Non-intrusive Cross-Layer Root-Cause Analysis for LLM Inference
- Roomer: Reflective Object-Grounded Model Editing and Repair for 3D Indoor Layout Synthesis
- ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces
- OSSDD - a New Open Dataset for Sentinel-1 Ship Detection
- FAST-GS: Frequency Aware Space-time Gaussian Splatting for Photorealistic Dynamic Novel View Synthesis
- Event ActivityNet: A Large-Scale Simulated-Event Benchmark for Untrimmed Action Understanding
- Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory
- UniMoCa: Unifying Motion and Camera Controls as Visual Proxies for Faithful Human Video Generation
- CultureVidBench: Benchmarking Cultural Understanding in Text-to-Video Generation
- A Contractualist Argumentation Framework for Moral Decision-Making
- Semantic Networks as Clues: A Theoretical Foundation and Process Optimization for Semantic Network Construction
- Automatic Annotation of Ancient Greek Vowel Length
- TransNRank: Towards Accurate Neoantigen Ranking with Transformer
- CHOW-SLAM: Compact Hybrid Representation with Complementary Overlap Window Optimization for RGB-D SLAM
- Diagnosing Search Behavior and Failure Modes in Long-Horizon Search Agents
- Assessing the Benefits of Combining Advanced Deep Learning Techniques for Post-Disaster Building Damage Assessment from UAV Imagery
- PhotoHOI: Synthesizing 3D Hand-Object Interactions from a Single RGB Photograph
- Understanding and Correcting Low-Frequency Bias in EEG Foundation Model
- Beyond Illumination: A Conditional Mutual Information-Guided Network for Low-Light Image Enhancement
- CARE: A Cascaded Framework for Efficient and Reliable Time Series Anomaly Detection
- Hear, Invoke, and Understand: A Skill-Calling Multimodal Agent for Large Audio Language Models
- LAB-Tab: LLM-Augmented Bayesian Network Adaptation for Few-Shot Tabular Generation
- Transformer Geometry Observatory TGO-III: Semantic Geometry Observatory
- No One Wins in Nuclear War: A Social Simulation of Military Decision-making
- Analyzing Speech Condition Effects in Dysarthric ASR: A Layer-wise Probing Study
- Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability
- Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
- Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting
- Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills
- Physics-Informed Neural Networks for Complex Eigenfrequency Identification and Mode Structure Reconstruction of the Ground-State ITG Branch
- FOCUS: FP4 Optimization via Coupled-Relaxation and Dual-Granularity Scaling
- tFUSOperator: Operator Learning for Transcranial Focused Ultrasound Digital Twins
- Rewriting or Reweighting? A Geometric Account in Language Models
- Tunneling the Loss Landscape: Bypassing Memorization with Monte Carlo Parameter Swapping
- MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration
- Detail Continuation over a Trustworthy Coarse Scale for Autoregressive Super-Resolution
- Reassessing the Feasibility of PPG-Based Non-Invasive Blood Glucose Level Estimation
- Predictive Maintenance: Deep Learning-Based Remaining Useful Life Prediction for Combat Aircraft Engines
- Divergent large language model predictions from convergent representations in ambiguous word pairs
- RADAR: Rubric-Aware Dependency and Redundancy Analysis for LLM-as-Judge Evaluation
- SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
- Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking
- LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation
- CoNav-UAV: Cooperative Dual-Altitude Aerial Navigation via Stackelberg Learning
- Illuminating Visual Identity in Universal Multimodal Embeddings
- Radar Detection in the CBRS Band: Techniques, Challenges, and Future Directions
- Investigating Social Bias in Narrative Image Generation
- Multi-Source Dynamic Graph Learning for Compound-Flood Forecasting in Managed Coastal Systems
- LiveLight: Real-time Streaming Video Relighting with Interactive Control
- Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
- EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming
- Pixel Ignores, Superpixel Sees: Adverse Weather Image Restoration via Semantic-Center SSM
- Constructing Parallel Multidimensional Chromatic Lexicons for Corpus-Assisted Analysis of Russian and English Texts
- SPECTRA: Band-Routed Embedding and Stage-Wise LoRA for Cross-Sensor Fine-Tuning of Geospatial Foundation Models
- Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints
- Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning
- IDraw: Artist Verification from Digital Drawing Images
- DAPD: Dual-Anchored Policy Distillation
- LLM-Guided Retrieval for Prediction of Molecular Perturbation Responses
- Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency
- G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priors
- CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives
- TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics
- When Extreme Darkness Meets Motion Blur: MeanFlow for Unified RAW Restoration
- STC-Net: Electroluminescence-Based Solar Cell Crack Segmentation for Power Loss Estimation
- UniSim-SLAM: Feed-Forward SLAM with Unified Sim(3) Optimization
- Rethinking Generative AI Literacy: An Integrative, Developmental, and Dialectical Framework for K-12 Teacher Education
- Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict?
- Entity-Aware Sequence Transduction for Player-Centric Ball Action Spotting
- ARM: Detector-Agnostic Changepoint Attribution with Finite-Sample Error Control
- ProtoAct: Turning Wet-Lab Protocols into Embodied Robotic Actions
- Generative AI and Foundation Models in Medical Image
- Generative Brownian Bridge Diffusion In Motion Space For Enhanced Myocardial Strain Analysis
- Understanding Sparse Attention Selectivity in Long-Context Foundation Models via Counterfactual Evaluation
- Learning What to Remember: Test-Time Training via Context Distillation
- Sharp Root Anti-Concentration via Projective Incidence and Ordered Root Laws
- Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation
- Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding
- LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Layer Indexing
- FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection
- Ground, Cover, and Refine: Evidence-Centric Frame Selection for Long-Video Question Answering
- StreamSplat: Streaming Feed-Forward 3D Gaussian Splatting
- Non-KKT Accumulation in Entropic Mirror Descent
- Approximate Message Passing with Random Initialization for Phase Retrieval
- Evaluating Forecasting Techniques for Hardware Errors on a Large-scale HPC System
- StreamTalk: Streaming Co-Speech Gesture Generation with Key-Pose Anchoring
- AI-assisted Script Management for Requirements Elicitation Interviews
- GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution
- Motion Beyond Morphology: Bootstrapping Cross-Category Motion Transfer from Abstract Motion Representations
- QWRF-Net: A Quantum-Wavelet Framework with Rectified Flow for Short-Term Precipitation Nowcasting
- Not the Dimension, the Norm: What Matters in Gradient-Free Weight Perturbation of Language Models
- Online Algorithms via Minimax and Posterior Matching
- Thermalizing Stochastic Programs
- Post-Training on Office Work Improves Software Engineering: A Behavioral Account of Cross-Domain Transfer
- When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins
- Latent-Regime Bias Auditing for Volatility Forecasting
- PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters' Lack of Knowledge
- D^2-4DGS: Dual-Depth Guided Sparse-Camera 4D Gaussian Splatting
- The Label Defines the Timescale: Trait-State Limits of Temporal-Aggregate Learning
- Statistical comparisons of time-series feature sets on classification tasks
- Semantic Alignment of AI Models: Concept Collapse, Checkpoint Dynamics, and Cross-Lingual Transfer
- LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
- Enhancing Visual Perception in Foggy Conditions via Multiclass Fog Density Modeling
- Characterizing Treatment-Context Medication Evidence Across Clinic Notes and Structured EHR Medication History
- DocNavRAG: Document-Structured Graph RAG with Stateful Evidence Construction for Complex Document Question Answering
- Meganeura: Portable GPU Training and Inference through Vulkan and Metal
- Discriminative Axis, Not Data Volume: What a Contrastive Corpus Teaches an Audio Embedding
- Does the Competitive Component of Adversarial Self-Play Improve Legal Reasoning? A Controlled Negative Result
- Generalized Quadratic Gradient: A New Direction in Optimization via the Fusion of Positive-Definite Curvature Matrices and Gradients into A Unified Framework
- LLM Capability Limits: Static Emergence and Dynamic Boundary Control
- Finite-Probe Total-Variation Certificates for Finite-Basis Drifting Models