Papers
Tue 4 Aug 2026
584 papers
- One Domain, Many Tongues: Composing Domain and Language LoRAs for Cross-Lingual Remote-Sensing MLLMs without Paired DataMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- RECAP: Relation Evidence Calibration for Detecting Spatial Relation Hallucinations in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SpecialEduBench: Benchmarking Vision-Language Models on Knowledge, Skill, and Attitude in Language Intervention for Autistic ChildrenMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Selection-Invariant Communication Compilers for Privacy-Aware Multi-Agent LLM WorkflowsLLM agents and tool use → Agent threats, guardrails and governance
- JEPA-WAM: Connecting Generated Visual Instructions to World Action Models through JEPA Latent RepresentationsWorld models → Embodied and robot world models
- When Agentic Executions Fail: Detecting and Localizing Runtime Faults from TelemetryLLM agents and tool use → Software engineering coding agents
- Offline Ambient-Controlled Latent Diffusion: Architecture, Telemetry, and On-Device EvaluationDiffusion models → Diffusion foundations and sampling
- Local verification cannot detect non-transportability: a cohomological theory of context preservation in agentic reasoningLLM agents and tool use → General LLM agent frameworks and benchmarks
- AgonAlpha: Autonomous Alpha Discovery via Prompt Economy and Scalable Agentic SearchLLM agents and tool use → Web, search, and research agents
- BRACE: Taming Sharp Irregularities via Barycentric Rational Forecasting for Fast Diffusion Transformers InferenceDiffusion models → Diffusion foundations and sampling
- Learning to Predict Middle-Layer Attention in MLLMs for Visual Token PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Post-Hoc Trajectory-Risk Certification for Modular LLM-Based Security AgentsLLM agents and tool use → Agent threats, guardrails and governance
- OneDayAgent: Towards a Long-Horizon Harness for Autonomous AgentsLLM agents and tool use → Software engineering coding agents
- Eliciting Intrinsic Hallucinations in LLMs via Semantically Equivalent Adversarial AttacksRetrieval-augmented generation → Hallucination detection in RAG
- The RAIL Principles for Neurosymbolic AI: Reasoning, Assurances, Interfacing and LearningLLM reasoning → Reasoning benchmarks and evaluation
- EA-Graph: Artifact-Anchored Verification Memory for Coding Agents under Upstream DriftLLM agents and tool use → Agent memory systems
- CURATE: Leveraging LLM Agents to Compose, Catalog, and Deploy Reproducible WorkflowsLLM agents and tool use → Software engineering coding agents
- The Fairness Collapse Phenomenon: Bias Amplification in Language Models Trained on Synthetic DataSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Strategic Evaluation of Planning Strategies for LLM Agents in Cyber-Physical SystemsLLM agents and tool use → Agent threats, guardrails and governance
- SIGNPOST-Bench: Benchmarking Text-Vision Conflict Resolution in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MatrAIx: Simulating the World with 8.3 Billion Persona AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Behavioral Skill Reconstruction: Reconstructing Hidden Functionality from LLM Agent SkillsLLM agents and tool use → Agent threats, guardrails and governance
- AgentForge: An Immersive Role-Playing Platform for Learning Agentic Software EngineeringLLM agents and tool use → Software engineering coding agents
- RUTA: Principled Visual Token Allocation via Rate-Utility OptimizationLLM reasoning → Multimodal reasoning +1
- Radar4D-VLM: Proposal-Grounded Temporal 4D Radar Reasoning Across Frozen Language ModelsLLM reasoning → Chain-of-thought reasoning for driving +1
- Teaching Foundation Models to Read mmWave: Pose-Guided Kinematic Representation for Human Behavior UnderstandingLLM agents and tool use → Multimodal and embodied agents
- Perception Before Reasoning: Dynamic Latent Reasoning for Video Understanding and Question AnsweringLLM reasoning → Multimodal reasoning
- FinPerMA: A Theory-Informed, Event-Grounded Personalized-Memory Benchmark for LLM AgentsLLM agents and tool use → Agent memory systems
- SpecDrop: Parameter-Free Category-Conditioned Routing for Modular SpecializationMixture-of-experts → Vision mixture-of-experts
- FinProBench: Evaluating Financial AI Agents with Role-Grounded Rubrics Derived from Professional DeliverablesLLM agents and tool use → Financial trading and forecasting agents
- Spend Bits Where Queries Look: KV Cache Vector Quantization with Attention-Preserving TransformsEfficient LLM inference and serving → KV cache quantization
- The LLM Proposes, the Executive Disposes: A Self-Verifying Agent Instrument that Dissociates Commitment Drift from Binding Drift in Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- An Inline Control Architecture for Language Models in Intelligent Transportation SystemsLLM safety and security → Safety alignment, refusal and guardrails
- Learning Sexism Detection Using Multi-Agent Perspectivist Preference OptimizationLLM agents and tool use → Social simulation and multi-agent debate +1
- AgentAntibody: An Adaptive Immune System for Defending LLM Agents against Prompt InjectionLLM agents and tool use → Agent threats, guardrails and governance +1
- When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive LearningLLM safety and security → Backdoor and data poisoning attacks
- Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client HeterogeneityLLM safety and security → Federated unlearning and poisoning
- An Explainable LLM Agent Layer for Open-World Anomaly Detection in Oil WellsLLM agents and tool use → Software engineering coding agents
- ParVL: Parallel Scaling and Expandable Compute Allocation for Multimodal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated ReasoningLLM reasoning → Reinforcement learning for reasoning +2
- Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and ReproducibilityLLM reasoning → Test-time compute and efficient thinking
- Assessment of Conditional Diffusion Model for Synthetic Histopathology Image GenerationDiffusion models → Medical imaging and segmentation
- Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch AgentLLM agents and tool use → Multimodal and embodied agents
- ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input PerturbationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Separating quantum circuits from classical LLMsDiffusion models → Diffusion foundations and sampling
- Interpretable Adaptive Sampling for LLM Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Muon Meets Mamba: Spectral Optimization for State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Bimanual Manipulation Within an 8 GB Budget: Zero-Copy Sensing and Quantized ACT on an Entry-Level JetsonDiffusion models → Diffusion and flow policies for robotics +1
- Progressive Learning of a Diffusion-based Inpainting Model for Separating Overlapped FingerprintsDiffusion models → 3D, point cloud and scene generation
- Latent Reward Registers for Diffusion Preference AlignmentDiffusion models → Diffusion and flow policies for robotics +2
- ETA: A New Agentic Paradigm for Embodied TasksLLM agents and tool use → Multimodal and embodied agents
- Sparse Weight Decomposition for Efficient Circuit ExtractionMechanistic interpretability → Circuits and mechanistic analysis
- UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype EvolutionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Socially Grounded Agentic AI: Coordinating Plural Perspectives through Social TheoryLLM agents and tool use → General LLM agent frameworks and benchmarks
- Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill ReuseEfficient LLM inference and serving → KV cache optimization
- Intertemporal Preference Steering in Qwen3 via Contrastive Activation AdditionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- MuRA: Multi-Rank Adaptation for Efficient and Effective Test-Time Vision-Language GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- BanglaWild: An In-the-Wild Bengali Scene Text Recognition Benchmark for OCR and Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- MultiGlobeQA: A Multilingual and Globally Diverse Benchmark for Geospatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Enhancing VLM Reward Models Through Structure-Aware Fine-TuningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?LLM agents and tool use → Agent skill learning and evolution
- EvoHIL: Self-Evolving Reward and Flow-Matched Policy Optimization for Robust Human-in-the-Loop Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAGRetrieval-augmented generation → Agentic RAG, agents and memory
- LiteMVS: Efficient Multi-View Stereo with Foundation Distillation and Expert AggregationMixture-of-experts → Vision mixture-of-experts
- MAFIA: Query-Only Memory Attacks via Probing and Factual Injection against Audited LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Oilbird: Training-Free Speculative Decoding with Keys the Verifier Already ComputesEfficient LLM inference and serving → Speculative decoding
- LatentGuard: Efficient and Inspectable Latent Reasoning for LLM SafeguardsLLM reasoning → Reasoning for agents, planning and code
- UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency SpaceLLM reasoning → Hallucination detection and mitigation
- OmniPack: Unified Token Compression for Efficient Omni-modal Large Language ModelsEfficient LLM inference and serving → Audio and omni-modal token compression
- Autoreflection: How Agentic Strange Loops Turn Human Culture into AI InfrastructureLLM agents and tool use → General LLM agent frameworks and benchmarks
- Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL LossKnowledge distillation → Knowledge distillation for LLMs
- Does Forgetting Transfer Across Modalities? A Real-World Benchmark for Cross-Modal Knowledge Unlearning EvaluationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination EvaluationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MDLMPE: Distribution Aware Positional Encoding for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- TDVR: Joint Text Disambiguation and Viewpoint Reasoning for Zero-Shot 3D Visual GroundingLLM reasoning → Spatial and embodied reasoning
- GORDON: Graph-based Object-centric Rewards for Decomposition of Long-Horizon ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Risky Business: Measuring The Faithfulness-Safety TensionLLM reasoning → Prompting and chain-of-thought reasoning
- Agents Catching Agents: Shortcut Cascades and Benchmark Gaming in Clinical Multi-Agent SystemsLLM agents and tool use → Medical and scientific domain agents
- An Actionable Diagnosis of Multilingual, Multi-Agent Planning FailuresLLM agents and tool use → General LLM agent frameworks and benchmarks
- Failure-Informed Image Self-Augmentation for Multimodal Large Language Model Self-ImprovementMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Track4Action: Distilling World-Centric 3D Tracker into Vision-Language-Action PoliciesVision-language-action models → 3D and spatial-aware VLA
- On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio CodecsDiffusion models → Audio, speech and music
- MultiCompose: Multi-Concept Personalized Composition with Per-Subject Attribute BindingDiffusion models → Image generation, text-to-image and editing
- LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic ManipulationWorld models → Embodied and robot world models
- Pattern over Pixels: Measuring Pattern Completion Bias in Multimodal Code GenerationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the CloudDeep reinforcement learning methods → RL training of language and agent models
- Keep the Needle, Prune the Haystack: Defect-Preserving Token Pruning for Efficient Zero-Shot Anomaly DetectionEfficient LLM inference and serving → Token pruning and merging for ViTs
- TAOT: Topology-Aware Optimal Transport for Dynamic Expert Replica Placement in MoE TrainingMixture-of-experts → Efficient MoE training and inference systems
- CausalOPD: First-Wrong-Step Supervision for Distilling Causal Chain ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent DebateLLM reasoning → Reasoning for agents, planning and code +1
- When Teachers Mislead: Spurious-Signal-Aware On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Cross-Layer Interaction under Weight-Space Ablation: A Closed-Form Attention Jacobian Bound and a Test on a Real Pretrained ModelMechanistic interpretability → Circuits and mechanistic analysis
- A Theory of Conditional Collapse under Low-Rank Weight-Space Ablations: I. The Single-Block Theory and Synthetic ValidationMechanistic interpretability → Circuits and mechanistic analysis
- Language-Specialized Multi-Teacher On-Policy Distillation for Multilingual LLM-Based ASRKnowledge distillation → On-policy and self-distillation for LLMs
- Formal Verification of Agentic Systems over Operational DataLLM agents and tool use → Software engineering coding agents
- Learning Clinical-Trial Strategy: Offline Policy Training for Decision AgentsLLM agents and tool use → Medical and scientific domain agents +1
- DiagChain: A Diagnostic Benchmark for Evaluating LLM Agents on Evidence-Grounded Attack Chain ReconstructionLLM agents and tool use → Agent threats, guardrails and governance
- GenOS: Compositional Certificates for Semantic Robustness in AI Code GenerationLLM agents and tool use → Software engineering coding agents
- From Social Coding to Agentic Coding: Productivity and Relational Reconfiguration in Open-Source CommunitiesLLM agents and tool use → Software engineering coding agents
All 584
- SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMsLLM reasoning → Reinforcement learning for reasoning
- Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Unified Visuomotor Targets: Supervising VLAs Beyond Physical ActionsVision-language-action models → Generalist VLA models and benchmarks
- Robust General Utility for Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Heterogeneous LLM Serving with General-Purpose Processing-Near-Memory for Retrieval-Based Sparse AttentionEfficient LLM inference and serving → KV cache optimization
- Soft Guidance Starts to Outperform CoT Prompting as LLMs ImproveLLM reasoning → Prompting and chain-of-thought reasoning
- Hi-TTRL: Regulating Consensus with Hints for Test-Time Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- S3-Diff: Structural Semantic Synergy Diffusion Model for High Fidelity Super Resolution of Pathological ImagesDiffusion models → Medical imaging and segmentation
- IRIS: Visual-Semantic Binding for Forgery-Resistant Watermarking of Diffusion ImagesLLM safety and security → Watermarking generated content and models
- Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and SwahiliLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Training Documents Reranker with Search Rubrics for Deep Research AgentLLM agents and tool use → Web, search, and research agents
- SkillJack: Persistent Skill Backdoors in Self-Evolving AgentsLLM safety and security → Prompt injection and agent security
- When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking
- Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision TasksLLM agents and tool use → Reinforcement learning for LLM agents
- Lightweight 3D Object Detection via Mamba-Based Knowledge DistillationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing +1
- RAG-Stack: Co-Optimizing RAG Serving Performance and QualityRetrieval-augmented generation → RAG pipeline design and evaluation
- SkillSentry: Adaptive Honey Worlds for Dynamic Safety Testing of Agent SkillsLLM agents and tool use → Agent threats, guardrails and governance
- Continue or Replan? Bernoulli-Continuation Policy Learning for Adaptive Horizon ExecutionVision-language-action models → Reasoning and chain-of-thought in VLA
- MT-Web2Code: Benchmarking Coding Agents on Multi-Turn Regional Reconstruction and Localized ModificationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Hi-Token: Hierarchical Coordinate Tokenization for Generative Visual GroundingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- When Correct Solutions Repeat: Rarity-Aware Credit Redistribution for GRPOLLM reasoning → Reinforcement learning for reasoning
- ChartAnno: Benchmarking Multimodal Large Language Models for Chart Annotation GenerationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- LeanMem: Simple and Efficient Long-Term Memory for LLM AgentsLLM agents and tool use → Agent memory systems
- LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Balancing Efficiency and Efficacy: Training-Free Attention-Guided Switching Between Explicit and Latent Thoughts for MLLMsLLM reasoning → Multimodal reasoning +1
- Approximate Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- OliveGemma: A 3 Billion Visual Language Model for Recognising the Mediterranean & European DietMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- When Truth Is Distributed: Misinformation Derails Collective Fact Recovery in LLM-Based Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Towards Improving Sequential Decision-Making in LLM Agents via Experience MemoryLLM agents and tool use → Reinforcement learning for LLM agents
- Shorter Reasoning, Earlier Answers? An Evaluation of Reasoning InterfacesLLM reasoning → Test-time compute and efficient thinking
- Self-Evolving Coding AgentsLLM agents and tool use → Software engineering coding agents +1
- Don't Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn Information Acquisition for Abductive InferenceLLM reasoning → Reasoning benchmarks and evaluation
- Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion PredictionDiffusion models → Video generation
- The Evolutionary Origin of Values: implications for AI alignment, sentience and existential riskLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models InferenceDiffusion models → Video generation
- Screenshots or Tools? Eliciting Tool Use and Managing Multimodal Context in Hybrid GUI-MCP Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space BridgingDiffusion models → Diffusion and flow policies for robotics +1
- SeaSlides: Semantic Abstraction Layer for Agentic Slide GenerationLLM agents and tool use → Multimodal and embodied agents
- Distractor-Aware Truncation: Disentangling Context-Length Effects from Signal Loss in Long-Context LLM BenchmarksRetrieval-augmented generation → Generation and context integration
- DocTrace: Towards Traceable Long Document VQA via Hierarchical Evidence Graph ReasoningLLM reasoning → Multimodal reasoning +1
- The Tell-Tale Trace: Detecting Reasoning Failures in LLMs Using Chain-of-Thought DynamicsLLM reasoning → Prompting and chain-of-thought reasoning
- Test-Time Scaling for Safe Text-Guided Image Generation via Intermediate Clean EstimatesLLM reasoning → Diffusion reasoning and test-time scaling +2
- TaskPress: Query-Agnostic KV Cache Compression via Task-Guided PruningEfficient LLM inference and serving → KV cache optimization
- MoEGen: Mixture-of-Experts for Instance-Adaptive LoRA GenerationMixture-of-experts → Mixture of LoRA experts
- Attacking and Defending Multi-Agent Collaborative Filtering Systems Through ConnectivityLLM agents and tool use → Agentic recommender systems
- The Ignition Is Real, and It Lives at the Readout: Latent composition, difficulty-clocked ignition, and the interface-constituted commit in a recurrent-depth reasonerLLM reasoning → Test-time compute and efficient thinking
- ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron DensityDiffusion models → Flow matching, time series and science
- UniNav: A Unified World-Action Diffusion Model for Visual NavigationWorld models → World models for navigation +1
- Relational Priors as Convergence Pressure in LLM-Based Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Structure-Aware Robust Fine-Tuning: Defending Vision-Language-Action Robots Against Physical Attention HijackingVision-language-action models → Safety and adversarial attacks
- SAKI: Score-Aware Low-Rank Key Indexing with Random-Matrix Noise Correction for KV RetrievalEfficient LLM inference and serving → KV cache optimization
- PFM-HR: Pose Flow Matching for Humanoid RobotsDiffusion models → Diffusion and flow policies for robotics
- Agentic Reinforcement Learning with Self-Distilled Reward ShapingLLM agents and tool use → Reinforcement learning for LLM agents
- Fail-Fast, Restart-Smart: Early Failure Prediction and Restart for SWE Agentic TasksLLM agents and tool use → Software engineering coding agents
- GROW: Group-Relative Advantage-Weighted On-Policy Reinforcement Learning of Autoregressive-Diffusion Text-to-Speech modelDiffusion models → Audio, speech and music +1
- The Agent Operating System (AOS): A Reference Operating Architecture for Distributed Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- CrossScope: A Role-Asymmetric World Model for Joint Dual-Scope Surgical Video PredictionWorld models → Medical and surgical world models
- ICO: Enhancing Semantic-Shift Jailbreaks via Iterative Context OptimizationLLM safety and security → Jailbreaking
- DRIFT: Derailing Denoising Trajectories of Flow-Matching VLAs with Adversarial Patch AttackVision-language-action models → Efficient VLA inference and adaptation +1
- EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated LearnersLLM agents and tool use → Educational agents and math problem solving
- Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling ApproachLLM reasoning → Multimodal reasoning +1
- When Refusal Looks Safe: The Refusal-Cue Shortcut in Safety Guard ModelsLLM safety and security → Safety alignment, refusal and guardrails
- NeuroMosaic: Anatomically Grounded Multimodal Large Language Modeling for Molecularly Aware Glioma Reasoning from 3D MRI and Clinical NarrativesLLM reasoning → Clinical and biomedical applications
- Attribute-based Undetectable Watermarking for Generative AI ModelsLLM safety and security → Watermarking generated content and models
- Test-time reasoning effort and unauthorized tool use in language-model agents: a prespecified equivalence studyLLM reasoning → Reasoning for agents, planning and code +1
- Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- Evidence-Grounded Multimodal Knowledge Graph Construction for Multi-Lecture Educational ReasoningLLM reasoning → Multimodal reasoning
- Accelerating Human-Aware Robot Trajectory Generation via Diffusion and Consistency DistillationDiffusion models → Diffusion and flow policies for robotics
- ANCHOR-RE: An Agentic Neuro-Symbolic Framework for Grounded Biomedical Relation ExtractionLLM agents and tool use → Medical and scientific domain agents
- Process-Knowledge-Embedded Safe DRL for Real-Time Dispatch of Process Loads in Industrial MicrogridsDeep reinforcement learning methods → RL for energy, networks and operations
- Lightweight Chunk Selection for Mobile Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration +1
- Verifiable Memory: Learning Unified Memory Management with Local and Global Verifiers for Large Language Model AgentsLLM agents and tool use → Agent memory systems
- Rectify Then Diffuse: Disentangling Concepts Before Denoising Trajectory UnfoldsDiffusion models → Robustness, privacy and adversarial aspects
- CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability DetectionLLM reasoning → Reasoning for agents, planning and code +1
- DP-MemView: A Memory Interface for Attribute-Level Transcript Privacy in Long-Term LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Trajectory-Guided Forget-Recover Network for Continual LLM UnlearningLLM safety and security → Machine unlearning
- Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVRLLM reasoning → Reinforcement learning for reasoning
- Simulation-free and finite-time diffusion modelDiffusion models → Diffusion foundations and sampling
- Shooting for Contact: Contact-Implicit Multiple Shooting for Dynamic Motion RetargetingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RLOffline RL and imitation learning from data → Offline RL algorithms
- A Hierarchical Approach to Imitation Learning for Manipulation Tasks Requiring Time Varying ForcesDiffusion models → Diffusion and flow policies for robotics +1
- Channel-wise Dynamic Knowledge Distillation via Adaptive Sample Generation for Action RecognitionKnowledge distillation → General knowledge distillation methods
- What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DHMark: Public-Key Watermarking for LLM-Generated Text via Diffie-Hellman-Guided Rejection SamplingLLM safety and security → Watermarking generated content and models
- SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy DistillationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data GenerationDiffusion models → Flow matching, time series and science
- SUV: Future Scene Understanding as Video Generation for End-to-End DrivingEnd-to-end autonomous driving → Generative simulation for driving
- GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine TranslationDeep reinforcement learning methods → RL training of language and agent models
- Getting the Parameters Right: A Difficulty-Graded Benchmark and Probe-Guided Training for LLM Tool CallsLLM agents and tool use → Tool learning and function calling
- Revisiting TD Target Aggregation under Uncertainty in Q-LearningDeep reinforcement learning methods → RL theory and sample complexity
- CVPO: Enhancing LLM Reinforcement Learning Reasoning via Value-Variance Adaptation and Dynamic Curriculum LearningLLM reasoning → Reinforcement learning for reasoning
- TraceCAD: Trace-Guided Repair for Agentic CAD GenerationLLM agents and tool use → Multimodal and embodied agents
- TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- How Should Vision-Language-Action Models Use Proprioceptive State?Vision-language-action models → Generalist VLA models and benchmarks
- PI-Mem: Pushing Long-Context Reasoning to 3.6M Tokens with Parallel-Iterative MemoryLLM reasoning → Test-time compute and efficient thinking
- CAPE-T2V: Captioner-Anchored Prompt Enhancement toward Two-Sided Conditioning Alignment in Text-to-Video GenerationDiffusion models → Video generation
- PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop SchedulingDeep reinforcement learning methods → RL for energy, networks and operations
- Beyond Accuracy: A Multidimensional Evaluation of Statistical Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- LLM Serving in the Wild: An Empirical Study of Frameworks, Methods, and System DesignsEfficient LLM inference and serving → Serving systems and request scheduling
- PACE: Adaptive Budget Allocation for Time-Efficient Embodied PlanningLLM reasoning → Spatial and embodied reasoning
- DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement LearningDiffusion models → Audio, speech and music
- CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series ForecastingLLM reasoning → Time series reasoning +1
- Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety ReasoningLLM reasoning → Clinical and biomedical applications
- DiffImaginE: Imagine to Verify Entity Types with DiffusionDiffusion models → Image generation, text-to-image and editing
- UrbanAgent: A Tool-Augmented Agent for Cross-System Urban TasksLLM agents and tool use → Multimodal and embodied agents
- Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis via Disentangled Audio InfillingDiffusion models → Audio, speech and music
- Tiny Enough to Break In: Agentic Remote Access Trojans Powered by Small Language ModelsLLM agents and tool use → Agent threats, guardrails and governance
- SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems via Deterministic Side ChannelsEfficient LLM inference and serving → Early exit and edge inference
- Neurosymbolic Reasoning with Incremental Knowledge for Sample Efficient Hierarchical Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- EmbodiedVAE: Disentangled Video VAE for Efficient and Controllable Embodied ManipulationWorld models → Embodied and robot world models +1
- AcceptMoE: Commitment-Weighted Self-Sizing Verifier Expert Sets for Efficient MoE Speculative DecodingMixture-of-experts → Efficient MoE training and inference systems +1
- Qwen-3D: A Generalist 3D Vision-Language Model for Spatial UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- ConFL: Explainable Concurrent Fault Localization via Hierarchy-Guided LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
- EmAvatar: Multimodal Empathetic Response Generation via Conflict Resolution and Expressive Guidance
- Large Language Models are Approximate Survival Estimators
- CrossScale-GLIO: Topology-Preserving Vision-Language Alignment of MRI and Whole-Slide Histopathology for Diffuse Glioma
- BDSLI: A hybrid CNN-Transformer model for Bengali Sign Language interpretation
- Fast Matrix Multiplication in fp8: Certified Coefficient Optimization and Measured Error
- FuncCode: Compressing Kolmogorov--Arnold Networks in Function Space with Hardware-Aware Quantization
- VISPATH: Visual-Intent-Guided Path Reasoning for Multimodal Knowledge Graph Question Answering
- COAL-SQL: Coverage-Guided Augmentation and Failure-Driven Learning for Text-to-SQL Post-Training
- Counterexamples and Sufficient Conditions: Comments on "Optimally-Transported Generalized Method of Moments"
- A Two-Stage Multi-Scale Attention-Based Network for Weakly Supervised Cataract Fundus Image Enhancement
- ZetaDial: dialing net charge of protein binders at inference time for therapeutic developability
- EXAONE Finance 1.0: An Attention-free Time Series Foundation Model for Financial Time Series
- Enabling Proactive Spoken Turns via a Generalized Style-Aware Full-Duplex Framework
- Data Driven Equation Discovery for Phase-Ordering Dynamics : From Allen Cahn to the Ising Model
- Triangular Fuzzy Rescaling Distance
- Active Spiking Perception: The Membrane Potential as a Belief State for Anytime 3D Point Cloud Recognition
- TorchDCM: A Unified PyTorch-Native Package for Discrete Choice Modeling
- Wrong Operator or Blind Design? A Post-Training Diagnostic for Physics-Informed Coefficient Learning
- WIP: LLM Odyssey: A Game-Based Platform for Teaching LLM Engineering Concepts
- Network Denoising Revisited: A Ricci-Flow-Inspired Graph Diffusion Method
- Information-Theoretic Causal Modelling of Semiconductor Process Dynamics
- Phase-Aware CNN for Real-Time 5G/6G Channel Estimation with Hardware-in-the-loop Validation
- Variable Selection in the Context of AI Fairness
- Diffuse to Compress: Leveraging Diffusion LMs for Lossless Compression
- Real-time physics inversion for retrieval of sub-pixel wildfire temperatures from VSWIR imaging spectroscopy
- Geometry Beats Estimated Depth: RGB-Only Multi-Camera 3D Tracking under Sim2Real
- Open-World Hierarchical Perception: Taxonomic Abstraction over Class-Agnostic Proposals for the Safe Handling of Out-of-Vocabulary Road Objects
- Beyond Isotropic Assumptions: Continuity-Constrained Segmentation and GPU Morphometry for Nanoscale GBM Analysis
- Multimodal Skin Lesion Classification with Swin Transformer and Clinical Metadata Fusion
- A Review of Vision-Based Vehicle Detection for UAV-Based Traffic Monitoring: Experimental Insights and Future Directions
- COMEX: A Composition-Grounded Benchmark and Learning Framework for Explainable Aesthetic Image Cropping
- Latent-Frequency Validity: Fast Spectral Editing with Screened Video-VAE Transfer Operators
- MS-MLB: An Open Machine Learning Benchmark for Blood-Based MS Classification
- Binding Biometrics with AI Agent Identifiers for Delegation of Authority
- SafeCommit: Certifying When Memory-Grounded Agents May Safely Act
- Sample Complexity of Multicalibration for Multilevel Properties
- Compass: Continuously Aligning Social Media Feeds via In-Situ Reflections
- LLM-based Vulnerability Discovery in Business Process Documentation
- Towards End-to-End Multilingual Metaphor Processing: Integrating Detection, Translation, and Evaluation
- Geometry-Informed Parameter-Efficient Fine-Tuning of Pre-trained Molecular GNNs for Blood-Brain Barrier Permeability Prediction
- PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration
- When Is a Conformal Guarantee Fair? Auditing Silent Subgroup Under-Coverage in Alzheimer's Disease Longitudinal Prediction
- Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models
- SAFECAST: Robust Failure Detection for VLA Policies with Contrast-Set Training and Calibration
- Attention-based representations for multi-task computation
- Hallucinations on the Board: Tool-Augmented Evaluation of LLM Chess Commentary
- Physics-informed reduced-order modelling with equivariant spectral submanifolds
- Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transport
- Interoceptive Attention as Dynamic Homeostatic Prioritization in a Foraging Agent
- Transferable Dual-Stream Representations for Mesoscale-Preserving Sea Surface Temperature Downscaling
- Random features for Grassmannian kernel approximation with bounded rank-one projections
- OmniVR: Audio-Video Conditional Generation for Archival Footage Restoration
- TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning
- A Unified Model for Cross-Domain Clone Detection via Model Merging
- Attention-Only White-Box Transformer via LeJEPA-Based Self-Supervised Pretraining
- PADFormer: Pose-agnostic Anomaly Detection from Sparse View Images
- From Non-Convex Self-Concordant Regularization to Scalable Quasi-Newton Training of PINNs
- Unscented KalmanNet: Structure-Preserving Deep Learning with Calibrated Posterior Uncertainty under Incomplete Physics and Unknown Noise
- From Financial Sentiment Classification to Return Predictability: A QLoRA Benchmark of Large Language Models
- SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation
- Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction
- Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models
- Large Language Models for Low-Resource Languages: A Conceptual Framework for an Electronic Explanatory Dictionary of the Tajik Language
- Test, then Route: How Language Models Execute In-Context Conditional Rules Across Models and Languages
- A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction
- TriCLE: Tri-Modal Vision-Language Reasoning for Edge-Deployed Fine-Grained Clustering
- TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model
- Understanding Fault Tolerance of Adversarially Robust Pruned Models
- Visualizing Graph-to-Answer Mechanism Recovery in Materials-Science Hypothesis Generation
- Mind the Cap: Output-Budget Regimes Change the Measured Multilingual Reasoning Gap
- MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining
- BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding
- TRNet: Learning with Topographic Priors for VHR Paddy Rice Mapping
- Sublogarithmic Swap Regret in Multiplayer General-Sum Games via Hybrid Regularization
- LiNC: Lightweight Noise Correction via Per-Sample Trust and Gaussian Mixture Modeling
- Neighborhood-Aware Dual Biomedical Entity Linking
- InvFlowFD: Reference-Free and Background-Set-Free Perceptual Music Quality Metric with Flow Matching Inversion
- Interpretable Fuzzy Inference for UAV Target Tracking Using Bounding-Box Geometry
- Out-Of-The-Loop Multi-Fidelity Bayesian Optimization
- GEB-Bench: Abstract Structures Told in Many Voices
- LoRetta: A Foundation Model and Extensive Dataset for Global-Scale Remote Sensing Dense Image Matching
- Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing
- FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks
- Monte Carlo Tree Search for Table-to-Multimodal Report Generation
- Advancing Utility Pole and Sign Detection Through Deep Learning
- SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors
- LaPrune: Controllable Differentiable Sparsity at Million Scale
- Unifying quantum measurement constructions via a relative-entropy minimum change principle
- Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding
- CAMP: A Cycle-Aware Multi-Scale Patch Mixer for Time Series Forecasting
- FM4WiFi: Flow Matching for Multi-AP Coordination in Dense Deployments of Beyond Wi-Fi 8 Networks
- Statistical learning theory and Occam's razor: Regularization
- Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs
- Beyond the QBER Threshold: A Temporal QBER Based Machine Learning Framework for Multi Attack Detection in BB84 QKD
- The Cost of Binarizing Survival Outcomes in Clinical Prognostic Modeling
- Tactus: Open-Vocabulary Object Recognition from Low-Cost Pressure Arrays
- SocietyBench: Forecasting Counterfactual Social-World Evolution
- WorldCup Arena: Prospective, Leakage-Free Evaluation of Frontier LLMs on a Live Tournament
- PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
- Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation
- When Attention Goes Blind: Numerical Failure in ALiBi Positional Encodings
- Perceptual Anchoring: Prototype-Guided Text Calibration for Training-free Open-Vocabulary Semantic Segmentation
- string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms
- Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss?
- JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
- UniWorld-Design: From Pixel Generation to Layer-Native Design
- Information-Geometric Forward Policy Training in GFlowNets
- HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification
- A game theory for foundation models shows new paths to rational cooperation through similarity inference
- TACT: Taxonomy-Aligned Post-Training for Pedagogically Adaptive English Tutoring
- Logic Before Language: Pre-pretraining on Formal Derivations Fosters Skill Acquisition and Compressibility
- Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling
- A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues
- PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection
- GeoMAR: Unleashing Geometrically Aligned Features for Masked Autoregressive Blind Face Restoration
- The Transformer Revolution, Part 1: Dynamic Processing through Output-Weight Interconnections
- Equivariant Music Transformer
- Low-Dimensional High-Leverage Subspace Optimization: Beyond Full-Parameter Coupled Training for Neural Network Quantization
- When and Where to Look: Adaptive Visual Evidence Scheduling for Efficient Long Video Understanding
- Implementing Causal Perception: Competing SCMs and Situated Fairness
- Trajectory inference via Acceleration Matching
- StreamDAM: Presence-Aware Memory for Real-Time Streaming Video Object Segmentation
- When Efficiency Becomes Fragility: Exploiting Dynamic Routing Vulnerabilities in Adaptive UAV Tracking
- ANNOTARES: A Dataset for Extracting Logical Structures from German Statutory Texts
- NCGR: Noise-Conditional Gated Rectification for Camera Extrinsic Perturbations in BEV 3D Object Detection
- CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
- Confidence Horizons
- Omega-S: A Functional Resilience Index for LLM Fine-Tuning
- DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM Reranking for ADHD Symptom Sentences
- Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution
- GENESIS: Towards Explainable Causal Discovery
- ADMITBench: A Safety-Governed Reference Framework for Evaluating the Admissibility of Industrial LLM Advisories
- CPrefix: A Combinatorial Tensor Framework for Structured Discrete Color Mappings
- CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence
- Beyond Representational Similarity: Source-Conditioned Description-Length Gain for Generative Plagiarism Detection and Candidate Source Reranking
- Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language
- When Calibration Depends on the Scoring Rule: Quantized Biomedical LLM Classification
- FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs
- Sensitivity, Causality, and Repair Dissociate: A Layer-Wise Analysis of Perturbation Robustness and Its Scaling
- Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers
- Geo-Embed: Towards Unified Multimodal Embeddings for Urban Understanding
- FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis
- UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
- VIBE: A VAD-Informed Benchmark for Entity-Centered Affective Profiling of Large Language Model Outputs
- M-GATE: Multilingual Grammar, Accuracy in Translation, and Efficiency Benchmark for Large Language Models
- Evaluating LLMs in Database Scenarios: A Lifecycle Benchmark for Assessing Their Potential in Core Database Tasks
- AgenticVAU: Multi-Agent Explore-Verify Reasoning for Video Anomaly Understanding
- Computing Actual Causes for Neural Network Predictions under Structured Causal Inputs
- GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks
- Unsupervised Adversarial Domain Adaptation for Uterine layer Segmentation: From Labeled Cine to Unlabeled Dynamic EPI MRI
- LegalPincite: Multi-level Legal Information Retrieval Dataset
- Can LLMs Test Terminal User Interfaces?
- AI-Based Sound Effect Generation: A Narrative Review of Generative Models Across Input Modalities
- MissClick: Execution-Aware Adversarial Attacks on Coordinate Generation in GUI Grounding Models
- AgenticECO: An Agentic Framework for ECO on 3D Integrated Circuits
- CARE-Bench: Benchmarking Patient-Facing LLM Triage
- Constructing Disambiguated Knowledge Bases from Large Language Models at Scale
- SAT-Edge-Agent: Hardware-in-the-Loop Edge-Agent Orchestration for Onboard Satellite Intelligence
- Towards Reliable and Reproducible Fetal Brain Biometry: A Deep Learning Approach Using MRI
- When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Diagnostic for Machine Collectives
- Detecting Hallucinations and Recovering Verified Answers in Arabic Islamic Question Answering
- Amortized Interventional Forecasting for Multivariate CIR Processes
- Attention is Case-Sensitive
- Predicting Deep Neural Network Training Outcomes from Early Training Telemetry
- To Describe or Construct Statistical Learning Models Using the Category-theoretical Language
- Less Traffic, Better Outcomes: Competition-Aware Request Dispatch in Real-Time Ad Exchanges
- When Agents Learn to Be You: Benchmarking Privacy Leakage, Impersonation Risk, and Defenses in Persona Skills
- TARL: Transaction-Aware Reliable Ledgers for Executable Memory Management in Long-Term Agents
- Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling
- Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph
- LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics
- LiveEvalBench: Toward Open-World Evaluation for Web Generation
- VetScore: Risk-Weighted Fact Verification for Veterinary Long-Form QA with Citations
- DiagLoop: A Counterfactual Data Flywheel with Stage-Localized Reinforcement for Diagnostic LLMs
- XiDepth: a Lightweight and Efficient Network for Self-supervised Monocular Depth Estimation
- Morphology-Aware Implicit Super-Resolution Network for Pathological Images
- Shielding for Higher-Order Safety
- Taming the Implicit: Dual-Channel Risk-Aware Reinforcement Fine-Tuning for Continual Multimodal Post-Training
- How Closely Do LLM Reviews Align with Human Peer Review?
- Decoupling Generation and Selection for Budget-Constrained Faithful Summarization
- AutoSND: From Execution Evidence to Structural Policies for Automated Network Dismantling Heuristic Discovery
- When Do Fewer Visual Tokens Accelerate Multimodal Inference? A Break-Even Study Across Decision Locations and Hardware
- Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation
- Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details
- Learning Biomechanically Plausible Human Motion from Sparse Radar Point Clouds
- MuEvo: LLM-Driven Evolution of Multi-Heuristic Ensemble
- SEER: A Self-Grounded Evidence Interface for Controlled Spatial Relation Classification
- POEM: Phase-Aware SO(2) Feature Rotation for Time Series Forecasting Under Periodicity Drift
- ConformalShift: Targeted Event Reordering Against Adaptive ECG Monitoring
- Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection
- A Security-Oriented Lifecycle Model for Large Language Model Systems
- LoopMTP: A looped transformer guided by latent multi-token prediction
- Geospatial-Prior Guidance for 3D Semantic Scene Completion
- A machine-readable catalogue of the Tsiolkovsky papers (fond 555, Archive of the Russian Academy of Sciences), and a way to measure how well its handwriting can be read
- Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement
- Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations
- FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation
- Large language models for partial differential equation workflows
- Disentangling Language Modeling and Boundaries
- FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation Detection
- Design-Time Optimization of Deep Neural Networks for Intermittent Learning on Microcontrollers
- Policy Fragmentation or Institutional Alignment? Institutional Governance of AI in Universities and Business Schools
- AI-Assisted Peer Review Across Research Communities: From Reviewer AI Policies to LLM Review Quality
- Pin Once, Swap Light: Subspace-Aligned Centroid-Residual Training for Efficient Ultra-LoRA Serving
- Looking under the Wrong Lamppost: On the Limitations of Automated Translation Quality Estimation
- Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
- Adversarial Fast-Moving Real-World Domains as Test Beds for Benchmarking AI Scientist Capabilities
- Enhancing Tabular Learners with Context-Aware Semantic Embeddings
- Compass: Degradation-Simulated Reciprocal Learning with Lightweight Needle RWKV for Multimodal Crack Segmentation under Missing Modalities
- Test-Time Augmentation for Tabular-to-Image Classifiers under Distribution Shifts
- Behaviorally Adaptive Visual Diversion for Inclusive and Resilient Digital Assessment Delivery
- Consensus Measures for Unstructured Biomedical Text Annotations
- MinerU.Chem: A High-Precision System for Optical Chemical Structure and Reaction Recognition
- Dr. AGENTONOMICS: A Didactic Experiment of AGENTONOMICS
- Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance
- AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems
- GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression
- Detecting Pose Estimation Failures via Keypoint Self-Consistency
- Reversing Arrows in Large Language Models
- How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification
- From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology
- ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels
- ConlangBench: Exploring Language Knowledge and Learning in LLMs through Diverse Constructed Languages
- Can LLM design high-quality experiments? A Comprehensive and Systematic Benchmark on Autonomous Experimental Design
- WeClawArena: An Auditable Sandbox and Benchmark for Cross-User Agents Collaboration and Security in Human-Centered Agent Networks
- FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare
- Principles of Robot Autonomy
- Beyond Initialization Loss: A Systematic Study of Token Embedding Initialization Strategies for LLM Vocabulary Extension
- Leveraging System-Level Observations to Inform Bayesian Learning of Model Parameters for Quantitative Verification
- A fully nonlinear structural vector autoregressive model identified via independent innovation analysis
- Beyond the Gegenbauer Paradigm: q-Orthogonal Kernels for Machine Learning
- Efficient Multilingual Neural Machine Translation via Corpus-Driven Vocabulary Pruning: An English-Arabic Case Study
- Adaptive Modality Reliability Diagnosis and Restoration for Robust Multimodal Intent Recognition
- Should the Boundary Term Be Learned in Reflected Diffusion? Conormal Trace and Reflection Masking
- ToolLIFT: Lifting Tool-Specific Trajectories into Function-Level Graphs for Generalizable Tool Planning
- Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer
- Probing Character-level Transformers for the Spanish L-shaped Morphome
- DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces
- Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment -- Is English Enough?
- A Low-Cost Hybrid Reservoir Computing Model for Isolated Sign Language Video Recognition
- Quality Control Algorithms for Pattern Counting
- Dynamically Allocating Evaluation Effort for Model Ranking
- FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations
- Stop Replacing Noise with Noise: Two-Source Reliability Assessment for Label Correction and Sample Reweighting in Label-Noise Learning
- Dual-domain U-Nets with embedded back projection operators for motion-resolved 4D CBCT reconstruction
- SLAMFormer-∞: Infinite SLAM Transformer for Unbounded Frontend and Backend Processing
- State Propagation Also Satisfies: A Complex-Valued State-Space Model for Deterministic State Tracking
- SGFormer: Structure-Guided Transformer for Robust Local Feature Matching
- HyperbolicDiffusion: Sharp & Scalable Tiled Generation on the Hyperbolic Plane
- Multi-Task Multi-Frame Visual Piano Transcription
- AI World Cup 2026: Benchmarking Large Language Models for End-to-End Football Tournament Prediction
- Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems
- DUD: Decoupled Update Dynamics for Reliable Uncertainty Quantification in Large Language Models
- Earth Embeddings
- Distilled Roads: Generalisable Road Network Extraction Across Sensors, Resolutions, and Region
- Towards Robust Tool Use in Agents via Experience-Driven Adaptive Guidance
- MMLongBench-Doc-V2: A Corrected-Annotation, Semantics-Aware Revision of MMLongBench-Doc
- SRAP: SVD-Refined Adversarial Perturbations for Imperceptible Face-Swap Defense
- TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series
- Benign interpolation and Occam's razor
- FreqAdapt: Frequency-Adaptive Processing for RAW Object Detection
- LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation
- Shaping Wind-Tunnel Airflow for Unmanned Aerial Vehicles using Online Learning
- FACTWASH: Catching AI Rewrites That Wash Hearsay into Fact
- DRPFNet: Dual-domain Residual Progressive Fusion Network for RGB-Thermal Object Detection
- Tight Worst-Case Bounds for the Smallest Eigenvalue of ReLU NTK Gram Matrices
- Conformal risk control for model-form uncertainty in parametric non-intrusive reduced-order models
- Can Text-to-Image Models Draw from the Right Frame of Reference?
- A Direct Route to Markov Chain Convergence via Asymptotic Equivalence with the Target
- When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation
- Route-Align-Verify for Functional Correctness in Code Generation
- Benchmarking the Benchmarks: Testing the Predictive Validity of Commonsense Benchmarks
- Traceable Multi-Agent System for Knowledge-Based Forecasting
- Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving
- AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning
- PolyLayout: Multi-room Manhattan Layout Estimation
- LocAnyMed: Vision-Language Grounding for Multimodal Medical Images
- Task-Oriented Candidate-Latent Feedback for Coarse-to-Fine Sensing in Distributed OFDM-ISAC Networks
- Evaluating LLM Trade-offs for Enterprise Automation: Lessons from Workflow Generation in a Production Enterprise Platform
- Recurrent Contrastive Learning for Imbalanced Medical Image Classification
- PLS-Calib: A Partial Least Squares Framework for Event Camera and Odometry Calibration under Ground Motion Constraints
- Provably Learning Multi-Head Attention with Queries
- AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions
- 3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment
- Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models
- GUI-Lens: Coarse-to-Fine Cropping for GUI Grounding with General-Purpose VLMs
- Efficient Video Dataset Distillation via Cluster-Guided Prototype Blending
- Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation
- FinVerse: Financial Time-Series Benchmark
- NanoMorph-3D: An End-to-End Physics-Driven Unrolling Framework for Nanomaterial Reconstruction
- Clarity Contrast and Similarity Selection for Multi-Focus Image Fusion
- From Wearable Data to Personalized and Actionable Health Insights
- ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection
- One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning
- CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment
- On the Diversity of Analogy Making in Large Language Models
- Open-Linguistic Concept Unified Learning for Cross-Site Interpretable Dermatology Image Diagnosis
- Reachability Is Not Realization: Tracing the Sources of LLM Benchmark Gains
- Self-Supervised Representation-Guided Generative Dataset Distillation
- iFAN: Inference-Aware Learning for Plain Mask Transformers
- Bridging Online and Offline Handwriting via Differentiable Physical Rendering
- On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds
- TumorBoard: Evidence-Grounded Multi-Agent Decision Support for Longitudinal Neuro-Oncology
- CRIL-U-Net: Compact Ratio-Interaction Learning for Focal Cortical Dysplasia Segmentation from T1w and FLAIR MRI
- EditFlow3D: Automated Local Editing of 3D Assets with Trajectory Preservation
- Diversity is Not Ambiguity: Toward Accurate and Efficient Ambiguity Detection for Open-Domain QA
- Frequency-Decorrelated Temporal Ensembles for EEG--fNIRS Imagined-Handwriting Decoding
- Surrogate Substitution Preserves PHI Detectability: A Multi-Detector Equivalence Study
- EFX Allocation In (Multi)Hypergraphs
- SpreadMark: Robust Image Watermarking via Spread-Spectrum Embedding
- Caved or Convinced: Temporal Sampling Gates Claim Deference in Video Large Language Models
- Surface Keypoint Representation for Multi-Object and Articulated Human-Object Interaction Generation
- UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval
- CROSS: Cascaded Distillation and Dual-Constraint Grounding for Remote Sensing Referring Segmentation
- Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer
- From Routes to Steps: Separating Semantic Progress from Local Execution in Vision-and-Language Navigation
- Minimax-Optimal Semiparametric Contextual Dynamic Pricing with Multimodal Revenue
- Internalizing Academic Writing Workflows for Introduction Generation via Struct-Aware Policy Learning
- Frozen High-Resolution Inference for Cross-City Object Detection: An AI City Challenge 2026 Study
- Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search
- DigitCode: Symbolic Tokenization of Hand Motion by Anatomical Units
- SeCo-SBIR: Semantically Consistent Prompt Learning for Zero-Shot Sketch-Based Image Retrieval
- From SQL Errors to Concept Gaps: An AI-Powered Knowledge Graph Analytics Platform for Personalized Feedback
- Optimal Liability Design for Medical AI
- Non-Destructive Quantification of Urea Adulteration in Bovine Milk Using Transmittance Multispectral Imaging
- Double Descent in Gradient Boosting Decision Trees via Split-Candidate Scaling
- Multimodal Plant Root Phenotyping with Integration of 3D Skeleton Extraction and Language Analysis
- A Unified Resolution-Conditioned Framework for Orthogonal Line-Scanning Image Fusion
- FaithIR: Rethinking Infrared Image Super-Resolution from Perceptual Sharpness to Task Relevant Fidelity
- HomoEnsNER: Does Language Alignment Outperform Architectural Complexity in Gujarati Named Entity Recognition?
- Double Down on Defense: Strengthening Deep Perceptual Hashes against Evasion Attacks without Retraining
- FakeI2V-Bench: Benchmarking the Applicability of Image-level Deepfake Detectors for Deepfake Video Detection
- VIVID: A Culturally Grounded Benchmark Exposing the Figurative Language Gap in Vietnamese NLP
- Scalable Frequency- and Length-Aware Subdocument Deduplication for Large Language Model Pretraining
- Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model
- Causal Inference with Unstructured Outcomes
- CorePath: A Breast-Specialized Pathology Foundation Model for Core Needle Biopsy Diagnosis and Risk-Controlled Report Generation
- LDU-Bench: Multimodal LLM Evaluation for Lithography Defect Understanding under Layout-Varying Circuit Backgrounds
- AI Agent Economics: Can Autonomous Economic Behavior Emerge among AI Agents under Minimal External Conditions?
- AI Security Leaderboard: Methodology, Results and Minimal Standard
- Activation-Guided Neuron Intervention to Induce Alzheimer's-Related Computational Language Phenotypes in a Large Language Model
- Global Graph-Validated Optimization for VLM-based 3D Indoor Scene Generation
- SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay
- RIDGE: Re-Noising with Internal Dynamic Guidance for Image Editing
- PDD-RRG: Posterior Diagnostic Decision for Study-level Radiology Report Generation
- Learning Music Style for Piano Arrangement Through Cross-Modal Bootstrapping
- AIDE: Automated Instruction via Distilled Expertise for Reference-Free Motor Skill Coaching
- Exploiting Separability in Multi-Scale Grey-Box Bayesian Optimization
- Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation
- Language Models Encode the Contextual Truth of Propositions
- Standalone DINOv3 for Training-Free Open-Vocabulary Semantic Segmentation in Remote Sensing
- LoCA: Forward-Only LLM Tuning after One-Shot Calibration with Local Credit Assignment
- Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants
- Clinically-Grounded Hierarchical Classification for Consistent Chest X-ray Interpretation
- A Graph Signal Processing Perspective on Numerical Sequence Representations in LLM In-Context Learning
- V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors
- ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs
- Stochastic Saddle Avoidance Beyond Unit Excitation and Smoothness: A Pathwise Lyapunov-Perron Framework
- On the Non-Specificity of Statistical Measures Used in Script Decipherment
- On the missing benchmarks layer and a potential solution
- Control Allocation in Neural Network Optimization: Joint Affine Control of Weight and Bias Updates
- Internalising the Identity Primitive: Cryptographic Individuality for an Autonomous Agent on a Public Blockchain
- Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores
- Mapping the City Through the Lens of Language Models
- HyperFL: Query-Adaptive Representation Learning for Software Fault Localization