Papers
Mon 16 Mar 2026
565 papers
- A Two-Dimensional Framework for AI Agent Design Patterns: Cognitive Function and Execution TopologyLLM agents and tool use → General LLM agent frameworks and benchmarks
- LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Beyond the Townhall: Spatial Anchoring and LLM Agents for Scalable Participatory Urban PlanningLLM agents and tool use → Multimodal and embodied agents
- HearthNet: Edge Multi-Agent Orchestration for Smart HomesLLM agents and tool use → Financial trading and forecasting agents
- Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI AgentsLLM agents and tool use → Agentic AI for wireless networks
- LightZeroNav: Zero-Shot Vision Language Navigation in Continuous Environments Based on Lightweight VLMsLLM reasoning → Spatial and embodied reasoning +1
- GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-ResolutionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based ExplainabilityLLM reasoning → Reasoning benchmarks and evaluation +1
- Safety Case Patterns for VLA-based driving systems: Insights from SimLingoEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- FormulaCode: Evaluating Agentic Optimization on Large CodebasesLLM agents and tool use → Software engineering coding agents
- CoDesignAI: An AI-Enabled Multi-Agent, Multi-User System for Collaborative Urban Design at the Conceptual StageLLM agents and tool use → Multimodal and embodied agents
- Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Selective Memory for Artificial Intelligence: Write-Time Gating with Hierarchical ArchivingRetrieval-augmented generation → Generation and context integration
- An Agentic Evaluation Framework for AI-Generated Scientific Code in PETScLLM agents and tool use → Web, search, and research agents
- MAC: Multi-Agent Constitution LearningLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- GASP: Guided Asymmetric Self-Play For Coding LLMsSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior PriorsDiffusion models → Diffusion and flow policies for robotics
- Protein Design with Agent Rosetta: A Case Study for Specialized Scientific AgentsLLM reasoning → Clinical and biomedical applications +1
- Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For UsLLM reasoning → Reasoning benchmarks and evaluation +1
- Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- NAMD: Virtual Follow-up Computed Tomography Synthesis via Nodule-Aligned Multimodal Diffusion Models for Early Lung Cancer DiagnosisDiffusion models → Medical imaging and segmentation
- Generative Inverse Design with Abstention via Diagonal Flow MatchingDiffusion models → Flow matching, time series and science
- VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?LLM agents and tool use → Software engineering coding agents
- Sparse but not Simpler: A Multi-Level Interpretability Analysis of Vision TransformersMechanistic interpretability → Interpreting vision and multimodal models
- Auto Researching, not hyperparameter tuning: Convergence Analysis of 10,000 ExperimentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine LearningLLM agents and tool use → Educational agents and math problem solving
- Human-AI Synergy in Agentic Code ReviewLLM agents and tool use → Software engineering coding agents
- Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical SolutionsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Beyond the Embedding Bottleneck: Adaptive Retrieval-Augmented 3D CT Report GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Don't Trust Stubborn Neighbors: A Security Framework for Agentic NetworksLLM agents and tool use → Agent threats, guardrails and governance
- Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMsDiffusion models → Discrete and text diffusion
- Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective MemoryLLM reasoning → Reasoning for agents, planning and code +1
- OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- CorrectionPlanner: Self-Correction Planner with Reinforcement Learning in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World AdaptationWorld models → Embodied and robot world models
- You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise VectorDiffusion models → Diffusion and flow policies for robotics
- AgentWorm: Self-Propagating Attacks Across LLM Agent EcosystemsLLM agents and tool use → Agent threats, guardrails and governance
- MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via VerificationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal ModelsLLM reasoning → Multimodal reasoning
- How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public CompetitionLLM agents and tool use → Agent threats, guardrails and governance +1
- SEMAG: Self-Evolutionary Multi-Agent Code GenerationLLM agents and tool use → Software engineering coding agents
- BadLLM-TG: A Backdoor Defender powered by LLM Trigger GeneratorLLM safety and security → Backdoor and data poisoning attacks
- Loosely-Structured Software: Engineering Context, Structure, and Evolution Entropy in Runtime-Rewired Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- Transition Flow MatchingDiffusion models → Flow matching, time series and science
- Towards Generalizable Robotic Manipulation in Dynamic EnvironmentsVision-language-action models → 3D and spatial-aware VLA
- Look Before Acting: Enhancing Vision Foundation Representations for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Measuring Progress in Reasoning Toward Mathematical Discovery with Automatic VerificationLLM reasoning → Mathematical reasoning
- GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text RenderingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and MotionDiffusion models → Video generation
- From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
- OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training DataLLM agents and tool use → Web, search, and research agents
- Grounding World Simulation Models in a Real-World MetropolisWorld models → Video-generation world models and simulators
- Mamba-3: Improved Sequence Modeling using State Space PrinciplesLLM reasoning → Test-time compute and efficient thinking +1
- Lore: Repurposing Git Commit Messages as a Structured Knowledge Protocol for AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- Anatomy of a Lie: A Multi-Stage Diagnostic Framework for Tracing Hallucinations in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Self-Distillation of Hidden Layers for Self-Supervised Representation LearningKnowledge distillation → General knowledge distillation methods
- Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor GenerationLLM reasoning → Mathematical reasoning
- InterveneBench: Benchmarking LLMs for Intervention Reasoning and Causal Study Design in Real Social SystemsLLM reasoning → Causal reasoning in LLMs
- Bridging Local and Global Knowledge: Cascaded Mixture-of-Experts Learning for Near-Shortest Path RoutingMixture-of-experts → Expert routing strategies
- Are Dilemmas and Conflicts in LLM Alignment Solvable? A View from Priority GraphLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Understanding Reasoning in LLMs through Strategic Information Allocation under UncertaintyLLM reasoning → Test-time compute and efficient thinking
- RSGen: Enhancing Layout-Driven Remote Sensing Image Generation with Diverse Edge GuidanceDiffusion models → Inverse problems and image restoration
- Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error AnalysisLLM agents and tool use → General LLM agent frameworks and benchmarks
- TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature BinsKnowledge distillation → General knowledge distillation methods
- ViFeEdit: A Video-Free Tuner of Your Video Diffusion TransformerDiffusion models → Video generation
- Agent Lifecycle Toolkit (ALTK): Reusable Middleware Components for Robust AI AgentsLLM agents and tool use → Software engineering coding agents
- Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room TaskMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded ReasoningLLM reasoning → Reasoning for agents, planning and code
- Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series ForecastingLLM reasoning → Time series reasoning
- Deep Reinforcement Learning for Fano HypersurfacesDeep reinforcement learning methods → Deep RL algorithms and representations
- Listening to the Echo: User-Reaction Aware Policy Optimization via Scalar-Verbal Hybrid Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Gym-V: A Unified Vision Environment System for Agentic Vision ResearchLLM agents and tool use → Multimodal and embodied agents
- CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model AgentsLLM agents and tool use → Agent memory systems
- MA-VLCM: A Vision Language Critic Model for Value Estimation of Policies in Multi-Agent Team SettingsLLM agents and tool use → Reinforcement learning for LLM agents
- Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning VulnerabilitiesLLM reasoning → Reinforcement learning for reasoning +1
- TrinityGuard: A Unified Framework for Safeguarding Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- A Closer Look into LLMs for Table UnderstandingMixture-of-experts → MoE large language models
- SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?LLM agents and tool use → Software engineering coding agents
- SFCoT: Safer Chain-of-Thought via Active Safety Evaluation and CalibrationLLM reasoning → Reasoning for agents, planning and code +1
- Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy OptimizationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RieMind: Geometry-Grounded Spatial Agent for Scene UnderstandingLLM reasoning → Spatial and embodied reasoning +2
- More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam SearchLLM reasoning → Test-time compute and efficient thinking
- Brain-Inspired Graph Multi-Agent Systems for LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- A PPO-Based Bitrate Allocation Conditional Diffusion Model for Remote Sensing Image CompressionDiffusion models → Inverse problems and image restoration
- CRASH: Cognitive Reasoning Agent for Safety Hazards in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- NavThinker: Action-Conditioned World Models for Coupled Prediction and Planning in Social NavigationWorld models → World models for navigation
- Conditional Rectified Flow-based End-to-End Rapid Seismic Inversion MethodDiffusion models → Flow matching, time series and science
- PMAx: An Agentic Framework for AI-Driven Process MiningLLM agents and tool use → Software engineering coding agents
- Intelligent Co-Design: An Interactive LLM Framework for Interior Spatial Design via Multi-Modal AgentsLLM agents and tool use → Multimodal and embodied agents
- DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- CCTU: A Benchmark for Tool Use under Complex ConstraintsLLM agents and tool use → Tool learning and function calling
- Evaluating the Robustness of Reinforcement Learning based Adaptive Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic MemoryLLM reasoning → Reasoning for agents, planning and code +1
- Faster Inference of Flow-Based Generative Models via Improved Data-Noise CouplingDiffusion models → Flow matching, time series and science
- Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- AGCD: Agent-Guided Cross-Modal Decoding for Weather ForecastingLLM agents and tool use → Financial trading and forecasting agents
All 565
- Directional Embedding Smoothing for Robust Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile SensingVision-language-action models → Tactile, force-aware and humanoid VLA
- SAGE: Multi-Agent Self-Evolution for LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- HalDec-Bench: Benchmarking Hallucination Detector in Image CaptioningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Mechanistic Foundations of Goal-Directed ControlMechanistic interpretability → Circuits and mechanistic analysis
- Multi-turn Physics-informed Vision-language Model for Physics-grounded Anomaly DetectionLLM reasoning → Spatial and embodied reasoning +1
- ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Efficient Document Parsing via Parallel Token PredictionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Simple is Better: Multiplication May Be All You Need for LLM Request SchedulingEfficient LLM inference and serving → Serving systems and request scheduling
- What Matters for Scalable and Robust Learning in End-to-End Driving Planners?End-to-end autonomous driving → End-to-end system architecture
- Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM SystemsLLM agents and tool use → Software engineering coding agents
- Iterative Learning Control-Informed Reinforcement Learning for Batch Process ControlDeep reinforcement learning methods → RL for energy, networks and operations
- KiRAS: Keyframe Guided Self-Imitation for Robust and Adaptive Skill Learning in Quadruped RobotsOffline RL and imitation learning from data → Robot manipulation imitation learning +1
- Question-guided Visual Compression with Memory Feedback for Long-Term Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- DAIT: Distillation from Vision-Language Models to Lightweight Classifiers with Adaptive Intermediate Teacher TransferMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- HindSight: Evaluating LLM-Generated Research Ideas via Future ImpactRetrieval-augmented generation → RAG pipeline design and evaluation
- Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow PoliciesOffline RL and imitation learning from data → Safe offline RL
- Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- WiT: Waypoint Diffusion Transformers for Alleviating Trajectory Conflict in Pixel-Space Image GenerationDiffusion models → Diffusion foundations and sampling
- Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion PriorsDiffusion models → Diffusion for compression and wireless
- From Storage to Steering: Memory Control Flow Attacks on LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual KnowledgeLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- HALO:Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable SimulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Writer-R1: Enhancing Generative Writing in LLMs via Memory-augmented Replay Policy OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking
- AnoleVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile ManipulationVision-language-action models → Generalist VLA models and benchmarks
- GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Models Designed to Forget: Machine Unlearning via Key DeletionLLM safety and security → Machine unlearning
- VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool ChainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Describing Agentic AI Systems with C4: Lessons from Industry ProjectsLLM agents and tool use → Software engineering coding agents
- Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow MatchingDiffusion models → Flow matching, time series and science
- CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Molecular Identifier Visual Prompt and Verifiable Reinforcement Learning for Chemical Reaction Diagram ParsingDeep reinforcement learning methods → RL for energy, networks and operations
- Clue Matters: Leveraging Latent Visual Clues to Empower Video ReasoningLLM reasoning → Multimodal reasoning +1
- Edit2Interp: Adapting Image Foundation Models from Spatial Editing to Video Frame Interpolation with Few-Shot LearningLLM reasoning → Multimodal reasoning
- OrgForge: A Multi-Agent Simulation Framework for Verifiable Synthetic Corporate CorporaLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- MMSpec: Benchmarking Speculative Decoding for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- ReMAP-DP: Reprojected Multi-view Aligned PointMaps for Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- Why Agents Compromise Safety Under PressureLLM agents and tool use → Agent threats, guardrails and governance
- Learning from Mistakes: Post-Training for Driving VLA with Takeover DataEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party FrameworkLLM safety and security → Watermarking generated content and models
- GeoNVS: Geometry Grounded Video Diffusion for Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
- CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learning Question-Aware Keyframe Selection with Synthetic Supervision for Video Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- GT-PCQA: Geometry-Texture Decoupled Point Cloud Quality Assessment with MLLMMultimodal LLMs / vision-language models → Image editing and quality assessment
- Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion RepresentationWorld models → World models for autonomous driving +1
- RS-WorldModel: a Unified Model for Remote Sensing Understanding and Future Sense ForecastingWorld models → Latent predictive world models
- FAR-Drive: Frame-AutoRegressive Video Generation in Closed-Loop Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- LLM as Graph Kernel: Rethinking Message Passing on Text-Rich GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Bridging the Intention-Expression Gap: Aligning Multi-Dimensional Preferences via Hierarchical Relevance Feedback in Text-to-Image DiffusionDiffusion models → Diffusion and flow policies for robotics
- EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image EditingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement LearningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +2
- Photonic Quantum-Enhanced Knowledge DistillationKnowledge distillation → Graph neural network distillation
- Balancing Saliency and Coverage: Semantic Prominence-Aware Budgeting for Visual Token Compression in VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and ColloquialnessLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Shopping Companion: Benchmarking and Training LLM Agents for Long-Horizon Preference-Grounded E-Commerce TasksLLM agents and tool use → Social simulation and multi-agent debate +1
- AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- From Artefact to Insight: Efficient Low-Rank Adaptation of BrushNet for Scanning Probe Microscopy Image RestorationDiffusion models → Inverse problems and image restoration
- The Impact of Ideological Discourses in RAG: A Case Study with COVID-19 TreatmentsRetrieval-augmented generation → Medical and biomedical RAG
- Toward Robust GraphRAG: Mitigating Retrieval Drift and Hallucination from Imperfect Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature ProjectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- M2IR: Proactive All-in-One Image Restoration via Mamba-style Modulation and Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts +1
- Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement LearningLLM reasoning → Spatial and embodied reasoning
- HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory SystemLLM agents and tool use → Multimodal and embodied agents
- Knowledge Activation: AI Skills as the Institutional Knowledge Primitive for Agentic Software DevelopmentLLM agents and tool use → Software engineering coding agents
- CORAL: COntextual Reasoning And Local Planning in A Hierarchical VLM Framework for Underwater MonitoringLLM reasoning → Spatial and embodied reasoning
- P2RAG: Efficient Privacy-Preserving RAG Service Supporting Arbitrary Top-k RetrievalRetrieval-augmented generation → Privacy and security of RAG
- OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective IntelligenceLLM agents and tool use → Medical and scientific domain agents
- BrainBench: Exposing the Commonsense Reasoning Gap in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- CAMD: Coverage-Aware Multimodal Decoding for Efficient Reasoning of Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- PHAC: Promptable Human Amodal CompletionDiffusion models → 3D, point cloud and scene generation
- TrajMamba: An Ego-Motion-Guided Mamba Model for Pedestrian Trajectory Prediction from an Egocentric PerspectiveState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- A Skill-augmented Agentic Framework and Benchmark for Multi-Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series ForecastingRetrieval-augmented generation → Time series and agricultural RAG
- Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using AgentsLLM safety and security → Prompt injection and agent security
- Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic PlanningDiffusion models → Diffusion and flow policies for robotics
- Beyond Local Code Optimization: Multi-Agent Reasoning for Software System OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- Scalable Text-Embedding-informed Cognitive Diagnosis of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Scale-Gest: Scalable Model-Space Synthesis and Runtime Selection for On-Device Gesture Detection
- AI to Learn 2.0: A Deliverable-Oriented Governance Framework and Maturity Rubric for Opaque AI in Learning-Intensive Domains
- Training for Compositional Sensitivity Reduces Dense Retrieval Generalization
- Benchmarking Real-Time Question Answering via Executable Code Workflows
- Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization
- Bridging the Experimental Last Mile: Digitizing Laboratory Know-How for Safe AI-Assisted Support
- Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins
- Hijacking online reviews: sparse manipulation and behavioral buffering in popularity-biased rating systems
- AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation
- SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models
- Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030
- Unsupervised Neural Network for Automated Classification of Surgical Urgency Levels in Medical Transcriptions
- Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models
- Code Sharing In Prediction Model Research: A Scoping Review
- Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook
- Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods
- A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
- Physicochemical-Neural Fusion for Semi-Closed-Circuit Respiratory Autonomy in Extreme Environments
- Complementarity-Preserving Generative Theory for Multimodal ECG Synthesis: A Quantum-Inspired Approach
- Degrees, Levels, and Profiles of Contextuality
- SpatialPoint: Spatial-aware Point Prediction for Embodied Localization
- A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems
- Exploring Novelty Differences between Industry and Academia: A Knowledge Entity-centric Perspective
- Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks
- RARE disease detection from Capsule Endoscopic Videos based on Vision Transformers
- Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies
- Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
- Kriging via variably scaled kernels
- Entropy-Aware Task Offloading in Mobile Edge Computing
- A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
- Automatic Termination Strategy of Inelastic Neutron-scattering Measurement Using Bayesian Optimization for Bin-width Selection
- Joint Optimization of Storage and Loading for High-Performance 3D Point Cloud Data Processing
- Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models
- KGS-GCN: Kinematics-Driven Gaussian Splatting and Probabilistic Topology for Skeleton-Based Action Recognition
- UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation for Assessing Hepatic Steatosis
- IRAM-Omega-Q: A Computational Framework for Uncertainty Regulation in Adaptive Agents
- FlatLands: Generative Floormap Completion From a Single Egocentric View
- The Importance of Being Smoothly Calibrated
- Breakdown properties of optimal transport maps: general transportation costs
- RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
- NLP Occupational Emergence Analysis: How Occupations Form and Evolve in Real Time -- A Zero-Assumption Method Demonstrated on AI in the US Technology Workforce, 2022-2026
- Visual Set Program Synthesizer
- The Midas Touch in Gaze vs. Hand Pointing: Modality-Specific Failure Modes and Implications for XR Interfaces
- W2T: LoRA Weights Already Know What They Can Do
- Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
- Determinism in the Undetermined: Deterministic Output in Charge-Conserving Continuous-Time Neuromorphic Systems with Temporal Stochasticity
- Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
- Standardizing Medical Images at Scale for AI
- From Workflow Automation to Capability Closure: A Formal Framework for Safe and Revenue-Aware Customer Service AI
- UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors
- Safety is Non-Compositional: A Formal Framework for Capability-Based AI Systems
- 100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models
- Robust Language Identification for Romansh Varieties
- A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Digital Pathology Images
- MoLoRA: Composable Specialization via Per-Token Adapter Routing
- Optimizing Hospital Capacity During Pandemics: A Dual-Component Framework for Strategic Patient Relocation
- Deriving Hyperparameter Scaling Laws via Modern Optimization Theory
- MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
- A Family of LLMs Liberated from Static Vocabularies
- POLAR:A Per-User Association Test in Embedding Space
- BanglaSocialBench: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction
- Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
- Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
- CTG-DB: An Ontology-Based Transformation of ClinicalTrials.gov to Enable Cross-Trial Drug Safety Analyses
- Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium
- Discovery of interaction and diffusion kernels in particle-to-mean-field multi-agent systems
- Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
- Learning to Recall with Transformers Beyond Orthogonal Embeddings
- Machine Translation in the Wild: User Reaction to Xiaohongshu's Built-In Translation Feature
- Data-efficient Bayesian-guided design selection from large candidate sets: Application to hyperelastic stochastic metamaterials
- Prompt Engineering for Scale Development in Generative Psychometrics
- Agent-based imitation dynamics can yield efficiently compressed population-level vocabularies
- Federated Learning for Privacy-Preserving Medical AI
- The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrong
- COGNAC at SemEval-2026 Task 5: LLM Ensembles for Human-Level Word Sense Plausibility Rating in Challenging Narratives
- Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
- AsgardBench -- Evaluating Visually Grounded Interactive Planning Under Minimal Feedback
- EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
- PhasorFlow: A Python Library for Unit Circle Based Computing
- Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure
- Electrodermal Activity as a Unimodal Signal for Aerobic Exercise Detection in Wearable Sensors
- Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
- Interpretative Interfaces: Designing for AI-Mediated Reading Practices and the Knowledge Commons
- Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
- Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
- FlashSampling: Fast and Memory-Efficient Exact Sampling
- Algorithmic Trading Strategy Development and Optimisation
- FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding
- Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning
- When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making
- Spectral Hierarchy of the Cosmic Web
- Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.1
- Hypothesis Class Determines Explanation: Why Accurate Models Disagree on Feature Attribution
- Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition
- Longitudinal Risk Prediction in Mammography with Privileged History Distillation
- ModTrack: Sensor-Agnostic Multi-View Tracking via Identity-Informed PHD Filtering with Covariance Propagation
- Feed-forward Gaussian Registration for Head Avatar Creation and Editing
- Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables
- Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego
- CUBE: A Standard for Unifying Agent Benchmarks
- Learnability with Partial Labels and Adaptive Nearest Neighbors
- Parallelised Differentiable Straightest Geodesics for 3D Meshes
- Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis
- Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs
- CLRNet: Targetless Extrinsic Calibration for Camera, Lidar and 4D Radar Using Deep Learning
- S2Act: Simple Spiking Actor
- Context-Length Robustness in Question Answering Models: A Comparative Empirical Study
- A Framework and Prototype for a Navigable Map of Datasets in Engineering Design and Systems Engineering
- GLANCE: Gaze-Led Attention Network for Compressed Edge-inference
- Embedding-Aware Feature Discovery: Bridging Latent Representations and Interpretable Features in Event Sequences
- LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation
- Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease
- Survey of Various Fuzzy and Uncertain Decision-Making Methods
- Mastering the Minority: An Uncertainty-guided Multi-Expert Framework for Challenging-tailed Sequence Learning
- This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMs
- Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach
- Mixture-of-Depths Attention
- Mechanistic Origin of Moral Indifference in Language Models
- HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions
- Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
- Do Metrics for Counterfactual Explanations Align with User Perception?
- Fast SAM 3D Body: Accelerating SAM 3D Body for Real-Time Full-Body Human Mesh Recovery
- SmartSearch: How Ranking Beats Structure for Conversational Memory Retrieval
- AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic Transfer
- Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise
- Effective Distillation to Hybrid xLSTM Architectures
- Computational Concept of the Psyche
- Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask
- Benchmarking Machine Learning Approaches for Polarization Mapping in Ferroelectrics Using 4D-STEM
- Low-Complexity and Consistent Graphon Estimation from Multiple Networks
- Unbiased and Biased Variance-Reduced Forward-Reflected-Backward Splitting Methods for Stochastic Composite Inclusions
- Severe Domain Shift in Skeleton-Based Action Recognition:A Study of Uncertainty Failure in Real-World Gym Environments
- Co-Design of Memory-Storage Systems for Workload Awareness with Interpretable Models
- Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex
- Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
- The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
- Panoramic Affordance Prediction
- Learning Latent Proxies for Controllable Single-Image Relighting
- Kimodo: Scaling Controllable Human Motion Generation
- DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
- Vib2ECG: A Paired Chest-Lead SCG-ECG Dataset and Benchmark for ECG Reconstruction
- Building Trust in PINNs: Error Estimation through Finite Difference Methods
- Clinically Aware Synthetic Image Generation for Concept Coverage in Chest X-ray Models
- SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction
- Beyond the Covariance Trap: Unlocking Generalization in Same-Subject Knowledge Editing for Large Language Models
- FreeTalk: Emotional Topology-Free 3D Talking Heads
- Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
- Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
- Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
- Real-Time Oriented Object Detection Transformer in Remote Sensing Images
- Grokking as a Variance-Limited Phase Transition: Spectral Gating and the Epsilon-Stability Threshold
- Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
- Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation
- Anchor then Polish for Low-light Enhancement
- Automated Counting of Stacked Objects in Industrial Inspection
- RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation
- Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
- Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches
- MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts
- Real-Time Human Frontal View Synthesis from a Single Image
- Physics-informed fine-tuning of foundation models for partial differential equations
- Invisible failures in human-AI interactions
- AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation
- RESQ: A Unified Framework for REliability- and Security Enhancement of Quantized Deep Neural Networks
- The Metric Slingshot: Navigational Reuse as Width-Optimal Structural Decoupling in Continual Learning
- A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
- SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia
- Fusian: Multi-LoRA Fusion for Fine-Grained Continuous MBTI Personality Control in Large Language Models
- Detection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context
- Pointing-Based Object Recognition
- AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations
- When Does Sparsity Mitigate the Curse of Depth in LLMs
- Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
- Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science
- Spectral Rectification for Parameter-Efficient Adaptation of Foundation Models in Colonoscopy Depth Estimation
- GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
- SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations
- Trajectory-Diversity-Driven Robust Vision-and-Language Navigation
- IRIS: Intersection-aware Ray-based Implicit Editable Scenes
- Controlled Langevin Dynamics for Sampling of Feedforward Neural Networks Trained with Minibatches
- Deep learning and the rate of approximation by flows
- FuXiWeather2: Learning accurate atmospheric state estimation for operational global weather forecasting
- NV-Bench: Benchmark of Nonverbal Vocalization Synthesis for Expressive Text-to-Speech Generation
- Oscillating Dispersion for Maximal Light-throughput Spectral Imaging
- Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
- Data Augmentation via Causal-Residual Bootstrapping
- A scaled TW-PINN: A physics-informed neural network for traveling wave solutions of reaction-diffusion equations with general coefficients
- MeMix: Writing Less, Remembering More for Streaming 3D Reconstruction
- Tagarela - A Portuguese speech dataset from podcasts
- CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and their Hyperparameters
- PYTHEN: A Flexible Framework for Legal Reasoning in Python
- A Kolmogorov-Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions
- xplainfi: Feature Importance and Statistical Inference for Machine Learning in R
- Generative Video Compression with One-Dimensional Latent Representation
- GATE-AD: Graph Attention Network Encoding For Few-Shot Industrial Visual Anomaly Detection
- Enhancing classification accuracy through chaos
- Evolutionary Transfer Learning for Dragonchess
- Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation Strategies
- Scalable Simulation-Based Model Inference with Test-Time Complexity Control
- Algorithms for Deciding the Safety of States in Fully Observable Non-deterministic Problems: Technical Report
- Dataset Diversity Metrics and Impact on Classification Models
- From Documents to Spans: Span-Centric Learning for LLM-based Explainable Medical Coding
- Self-Supervised ImageNet Representations for In Vivo Confocal Microscopy: Tortuosity Grading without Segmentation Maps
- Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels
- IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning
- Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search
- In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
- Practicing with Language Models Cultivates Human Empathic Communication
- A proof-of-concept for automated AI-driven stellarator coil optimization with in-the-loop finite-element calculations
- Why the Valuable Capabilities of LLMs Are Precisely the Unexplainable Ones
- Decomposing Probabilistic Scores: Reliability, Information Loss and Uncertainty
- HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding
- Bidirectional Chinese and English Passive Sentences Dataset for Machine Translation
- SCAN: Sparse Circuit Anchor Interpretable Neuron for Lifelong Knowledge Editing
- InterPol: De-anonymizing LM Arena via Interpolated Preference Learning
- Towards Foundation Models for Consensus Rank Aggregation
- Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift
- Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football
- Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning
- Geometric framework for biological evolution
- Massive Redundancy in Gradient Transport Enables Sparse Online Learning
- PiGRAND: Physics-informed Graph Neural Diffusion for Intelligent Additive Manufacturing
- The Sampling Complexity of Condorcet Winner Identification in Dueling Bandits
- Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
- The Hrunting of AI: Where and How to Improve English Dialectal Fairness
- CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
- Sequential Transport for Causal Mediation Analysis
- Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning
- To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
- Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
- Storage and selection of multiple chaotic attractors in minimal reservoir computers
- Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
- TextOVSR: Text-Guided Real-World Opera Video Super-Resolution
- SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation
- Accelerating Byzantine-Robust Distributed Learning with Compressed Communication via Double Momentum and Variance Reduction
- Clinical Priors Guided Lung Disease Detection in 3D CT Scans
- Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup
- Low-light Image Enhancement with Retinex Decomposition in Latent Space
- Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
- A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements
- Establishing Construct Validity in LLM Capability Benchmarks Requires Nomological Networks
- A Tutorial on ALOS2 SAR Utilization: Dataset Preparation, Self-Supervised Pretraining, and Semantic Segmentation
- VAREX: A Benchmark for Multi-Modal Structured Extraction from Documents
- Sampling-guided exploration of active feature selection policies
- PAKAN: Pixel Adaptive Kolmogorov-Arnold Network Modules for Pansharpening
- PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units
- Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC
- Bridging National and International Legal Data: Two Projects Based on the Japanese Legal Standard XML Schema for Comparative Law Studies
- Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds
- Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems
- ReactMotion: Generating Reactive Listener Motions from Speaker Utterance
- Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
- Interpretable Classification of Time Series Using Euler Characteristic Surfaces
- Generative Semantic HARQ: Latent-Space Text Retransmission and Combining
- The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning
- Muon Converges under Heavy-Tailed Noise: Nonconvex H"older-Smooth Empirical Risk Minimization
- Analyzing Error Sources in Global Feature Effect Estimation
- Spatio-temporal probabilistic forecast using MMAF-guided learning
- Interference-Aware K-Step Reachable Communication in Multi-Agent Reinforcement Learning
- SRL-MAD: Structured Residual Latents for One-Class Morphing Attack Detection
- CrossADR: enhancing adverse drug reactions prediction for combination pharmacotherapy with cross-layer feature integration and cross-level associative learning
- Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets
- A convolutional autoencoder and neural ODE surrogate modeling framework applied to transient counterflow flames
- Interpretable Predictability-Based AI Text Detection: A Replication Study
- Attention Residuals
- Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods
- One CT Unified Model Training Framework to Rule All Scanning Protocols
- MER-Bench: A Comprehensive Benchmark for Multimodal Meme Reappraisal
- Reference-Free Omnidirectional Stereo Matching via Multi-View Consistency Maximization
- Consequentialist Objectives and Catastrophe
- TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
- Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
- Pretraining and Benchmarking Modern Encoders for Latvian
- MONET: Modeling and Optimization of neural NEtwork Training from Edge to Data Centers
- How Log-Barrier Helps Exploration in Policy Optimization
- Thermal Image Refinement with Depth Estimation using Recurrent Networks for Monocular ORB-SLAM3
- Exposing Cross-Modal Consistency for Fake News Detection in Short-Form Videos
- Anchoring Emotions in Text: Robust Multimodal Fusion for Mimicry Intensity Estimation
- Voronoi-based Second-order Descriptor with Whitened Metric in LiDAR Place Recognition
- Lightweight User-Personalization Method for Closed Split Computing
- SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning
- Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset
- FairMed-XGB: A Bayesian-Optimised Multi-Metric Framework with Explainability for Demographic Equity in Critical Healthcare Data
- Spiking Layer-Adaptive Magnitude-based Pruning
- Ultra-Early Prediction of Tipping Points: Integrating Dynamical Measures with Reservoir Computing
- Intelligent Control of Differential Drive Robots Subject to Unmodeled Dynamics with EKF-based State Estimation
- Video-CoE: Reinforcing Video Event Prediction via Chain of Events
- Masked BRep Autoencoder via Hierarchical Graph Transformer
- Workflow-Aware Structured Layer Decomposition for Illustration Production
- Directional Routing in Transformers
- F2HDR: Two-Stage HDR Video Reconstruction via Flow Adapter and Physical Motion Modeling
- Bayesian Symbolic Regression for Missing Physics
- Spectrogram features for audio and speech analysis
- ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction
- Fine-tuning RoBERTa for CVE-to-CWE Classification: A 125M Parameter Model Competitive with LLMs
- TopoVST: Toward Topology-fidelitous Vessel Skeleton Tracking
- Machine learning for sustainable geoenergy: uncertainty, physics and decision-ready inference
- ExPosST: Explicit Positioning with Adaptive Masking for LLM-Based Simultaneous Machine Translation
- The impact of machine learning forecasting on strategic decision-making for Bike Sharing Systems
- BiTro: Bidirectional Transfer Learning Enhances Bulk and Spatial Transcriptomics Prediction in Cancer Pathological Images
- Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
- LLMs as Signal Detectors: Sensitivity, Bias, and the Temperature-Criterion Analogy
- Decision-Level Ordinal Modeling for Multimodal Essay Scoring with Large Language Models
- PASTE: Physics-Aware Scattering Topology Embedding Framework for SAR Object Detection
- SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras
- Customizing ChatGPT for Second Language Speaking Practice: Genuine Support or Just a Marketing Gimmick?
- RealVLG-R1: A Large-Scale Real-World Visual-Language Grounding Benchmark for Robotic Perception and Manipulation
- Seismic full-waveform inversion based on a physics-driven generative adversarial network
- A Hybrid AI and Rule-Based Decision Support System for Disease Diagnosis and Management Using Labs
- Developing an English-Efik Corpus and Machine Translation System for Digitization Inclusion
- IgPose: A Generative Data-Augmented Pipeline for Robust Immunoglobulin-Antigen Binding Prediction
- A Self-Evolving Defect Detection Framework for Industrial Photovoltaic Systems
- A Score Filter Enhanced Data Assimilation Framework for Data-Driven Dynamical Systems
- Video Detector: A Dual-Phase Vision-Based System for Real-Time Traffic Intersection Control and Intelligent Transportation Analysis
- Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats
- From Horizontal to Rotated: Cross-View Object Geo-Localization with Orientation Awareness
- PCodeTrans: Translate Decompiled Pseudocode to Compilable and Executable Equivalent
- Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation
- Lost in Aggregation: On a Fundamental Expressivity Limit of Message-Passing Graph Neural Networks
- Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
- ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations
- Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
- DamageArbiter: A Multimodal Arbitration Framework for Disaster Damage Assessment from Street-View Imagery
- Ablate and Rescue: A Causal Analysis of Residual Stream Hyper-Connections
- Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis
- Neural Networks as Local-to-Global Computations
- Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
- SemanticFace: Semantic Facial Action Estimation via Semantic Distillation in Interpretable Space
- Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version
- RadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving
- SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression
- Fold-CP: A Context Parallelism Framework for Biomolecular Modeling
- VorTEX: Various overlap ratio for Target speech EXtraction
- OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX
- Universe Routing: Why Self-Evolving Agents Need Epistemic Control
- Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
- Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
- Global Truncated Loss Minimization for Robust and Threshold-Resilient Geometric Estimation
- Face-to-Face: A Video Dataset for Multi-Person Interaction Modeling
- GARCH-FIS: A Hybrid Forecasting Model with Dynamic Volatility-Driven Parameter Adaptation
- LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
- Mind-of-Director: Multi-modal Agent-Driven Film Previsualization via Collaborative Decision-Making
- Orthogonal Subspace Clustering: Enhancing High-Dimensional Data Analysis through Adaptive Dimensionality Reduction and Efficient Clustering
- Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA
- High-Fidelity 3D Facial Avatar Synthesis with Controllable Fine-Grained Expressions
- Vietnamese Automatic Speech Recognition: A Revisit
- HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
- Zero-Shot Reconstruction of Animatable 3D Avatars with Cloth Dynamics from a Single Image
- AnyPhoto: Multi-Person Identity Preserving Image Generation with ID Adaptive Modulation on Location Canvas
- POLCA: Stochastic Generative Optimization with LLM
- Understanding the geometry of deep learning with decision boundary volume
- Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments
- SSR: A Training-Free Approach for Streaming 3D Reconstruction
- Topology-Preserving Polygon Augmentation for Segmentation in Structured Visual Domains
- LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
- Online Learning for Supervisory Switching Control
- Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
- Learning Constituent Headedness
- Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization
- Efficient Event Camera Volume System
- Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
- LLM-as-a-judge validity is strongly task-dependent across physics assessment formats
- GNNVerifier: Graph-based Verifier for LLM Task Planning
- Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach
- Enhancing Hands in 3D Whole-Body Pose Estimation with Conditional Hands Modulator
- GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
- Beyond Creed: A Non-Identity Safety Condition A Strong Empirical Alternative to Identity Framing in Low-Data LoRA Fine-Tuning
- Multimodal Deep Learning for Early Prediction of Patient Deterioration in the ICU: Integrating Time-Series EHR Data with Clinical Notes
- Training-Free Generation of Protein Sequences from Small Family Alignments via Stochastic Attention
- Towards Next-Generation LLM Training: From the Data-Centric Perspective
- AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
- Fractal Autoregressive Depth Estimation with Continuous Token Diffusion
- AURORA-KITTI: Any-Weather Depth Completion and Denoising
- Design Space of Self--Consistent Electrostatic Machine Learning Interatomic Potentials
- Scaling Autoregressive Models for Lattice Thermodynamics
- Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
- Applications of Intuitionistic Temporal Logic to Temporal Answer Set Programming
- MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model
- E2EGS: Event-to-Edge Gaussian Splatting for Pose-Free 3D Reconstruction
- Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sequence Hierarchies, and Grouped/Latent-Group Designs