Papers
Thu 26 Mar 2026
445 papers
- Cost-Aware Query Routing in RAG: Empirical Analysis of Retrieval Depth TradeoffsRetrieval-augmented generation → RAG pipeline design and evaluation
- GhostServe: A Lightweight Checkpointing System in the Shadow for Fault-Tolerant LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Same Verdict, Different Reasons: LLM-as-a-Judge and Clinician Disagreement on Medical Chatbot CompletenessLLM reasoning → Clinical and biomedical applications
- Robust Reasoning BenchmarkLLM reasoning → Reasoning benchmarks and evaluation
- Runtime Burden Allocation for Structured LLM Routing in Agentic Expert Systems: A Full-Factorial Cross-Backend MethodologyLLM agents and tool use → General LLM agent frameworks and benchmarks
- PiCSRL: Physics-Informed Contextual Spectral Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-offRetrieval-augmented generation → Legal and financial RAG
- GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem StructuringLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model EmbeddingsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MemGuard-Alpha: Limits of Membership Inference for Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial ForecastingLLM safety and security → Membership inference attacks
- Policy-Guided World Model Planning for Language-Conditioned Visual NavigationWorld models → World models for navigation
- A Priori Sampling of Transition States with Guided DiffusionDiffusion models → Flow matching, time series and science
- MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain PersonalizationLLM agents and tool use → Agent memory systems
- Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle ControlEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language ModelsLLM reasoning → Clinical and biomedical applications
- Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction DatasetsEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Can Small Models Reason About Legal Documents? A Comparative StudyLLM reasoning → Reasoning for agents, planning and code
- Reinforcing Structured Chain-of-Thought for Video UnderstandingLLM reasoning → Multimodal reasoning +1
- DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video GenerationDiffusion models → Video generation
- AVDA: Autonomous Vibe Detection Authoring for CybersecurityLLM agents and tool use → Agent threats, guardrails and governance
- TheBotCompany: Self-Organizing Multi-agent Systems for Continuous Software DevelopmentLLM agents and tool use → Software engineering coding agents
- Density-aware Soft Context Compression with Semi-Dynamic Compression RatioEfficient LLM inference and serving → Prompt and context compression
- THFM: A Unified Video Foundation Model for 4D Human Perception and BeyondDiffusion models → Image generation, text-to-image and editing
- Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization MethodsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- World Reasoning ArenaWorld models → World models for language agents
- DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with EaseDiffusion models → Diffusion foundations and sampling
- GazeQwen: Lightweight Gaze-Conditioned LLM Modulation for Streaming Video UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Massive Parallel Deep Reinforcement Learning for Active SLAMDeep reinforcement learning methods → RL for robot navigation and UAV control
- ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners?LLM reasoning → Multimodal reasoning
- ExVerus: Verus Proof Repair via Counterexample ReasoningLLM reasoning → Mathematical reasoning
- RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task EvaluationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- A Judge Agent Closes the Reliability Gap in AI-Generated Scientific SimulationLLM agents and tool use → Web, search, and research agents
- Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease ControlDeep reinforcement learning methods → RL for clinical treatment and surgery
- ReCUBE: Evaluating Repository-Level Context Utilization in Code GenerationLLM agents and tool use → Software engineering coding agents
- UCAgent: An End-to-End Agent for Block-Level Functional VerificationLLM agents and tool use → Software engineering coding agents
- ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action ModelsVision-language-action models → VLA for autonomous driving
- Confident and Wrong: Silent Semantic Failures in Coding AgentsLLM agents and tool use → Software engineering coding agents
- Vega: Learning to Drive with Natural Language InstructionsWorld models → World models for autonomous driving +1
- Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Training the Knowledge Base through Evidence Distillation and Write-Back EnrichmentRetrieval-augmented generation → RAG pipeline design and evaluation
- SlotVTG: Object-Centric Adapter for Generalizable Video Temporal GroundingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context InferenceDiffusion models → Video generation +1
- R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal ReasoningLLM reasoning → Multimodal reasoning
- Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?LLM agents and tool use → Software engineering coding agents
- Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World ModelsWorld models → Video-generation world models and simulators
- S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-SpeculationDiffusion models → Discrete and text diffusion
- Neural Network Conversion of Machine Learning PipelinesKnowledge distillation → General knowledge distillation methods
- The Kitchen Loop: User-Spec-Driven Development for a Self-Evolving CodebaseSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement LearningWorld models → Embodied and robot world models +1
- Self-Improvement of Large Language Models: A Technical Overview and Future OutlookSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Can Users Specify Driving Speed? Bench2Drive-Speed: Benchmark and Baselines for Desired-Speed Conditioned Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time PerformanceVision-language-action models → Generalist VLA models and benchmarks +1
- LanteRn: Latent Visual Structured ReasoningLLM reasoning → Multimodal reasoning +1
- PICon: A Multi-Turn Interrogation Framework for Evaluating Persona Agent ConsistencyLLM agents and tool use → Social simulation and multi-agent debate
- Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face VerificationMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Cooperative Deep Reinforcement Learning for Fair RIS AllocationDeep reinforcement learning methods → RL for energy, networks and operations
- A Mamba-based Perceptual Loss Function for Learning-based UGC TranscodingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- GeoHeight-Bench: Towards Height-Aware Multimodal Reasoning in Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Revisiting On-Policy Distillation: Empirical Failure Modes and Simple FixesKnowledge distillation → On-policy and self-distillation for LLMs
- Humans vs Vision-Language Models: A Unified Measure of Narrative CoherenceMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A Representation Optimization Dichotomy, Lie-Algebraic Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible AgentsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame GridsLLM reasoning → Chain-of-thought reasoning for driving +1
- Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Temporally Decoupled Diffusion Planning for Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics
- Language-Free Generative Editing from One Visual ExampleDiffusion models → Image generation, text-to-image and editing
- The Symmetric Perceptron: a Teacher-Student ScenarioKnowledge distillation → General knowledge distillation methods
- VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph GenerationWorld models → World models for navigation +1
- Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and GenerationVision-language-action models → Efficient VLA inference and adaptation
- Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion PriorVision-language-action models → 3D and spatial-aware VLA +1
- Multimodal Dataset Distillation via Phased Teacher ModelsKnowledge distillation → General knowledge distillation methods
- CLIP-RD: Relational Distillation for Efficient CLIP Knowledge DistillationKnowledge distillation → Multimodal distillation
- Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile RoboticsDeep reinforcement learning methods → RL for robot navigation and UAV control
- InstanceAnimator: Multi-Instance Sketch Video ColorizationDiffusion models → Image generation, text-to-image and editing
- 4OPS: Structural Difficulty Modeling in Integer Arithmetic PuzzlesLLM reasoning → Mathematical reasoning
- SafeGuard ASF: SR Agentic Humanoid Robot System for Autonomous Industrial SafetyLLM agents and tool use → Agent threats, guardrails and governance
- From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial NetworksLLM agents and tool use → Agent threats, guardrails and governance
- Adaptive Chunking: Optimizing Chunking-Method Selection for RAGRetrieval-augmented generation → Multimodal RAG
- Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven VehiclesDeep reinforcement learning methods → RL for autonomous driving and traffic
- How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language ModelsMechanistic interpretability → SAE features and their applications
- AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader StudyLLM agents and tool use → Medical and scientific domain agents
- CRAFT: Grounded Multi-Agent Coordination Under Partial InformationLLM agents and tool use → General LLM agent frameworks and benchmarks
- EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video RetrievalMultimodal LLMs / vision-language models → Video understanding with MLLMs
- MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure ElucidationLLM reasoning → Clinical and biomedical applications +1
- Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDALLM agents and tool use → Software engineering coding agents
- Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman ProblemOffline RL and imitation learning from data → Decision transformers and sequence modeling
- WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web TestingLLM agents and tool use → Software engineering coding agents
- A Wireless World Model for AI-Native 6G NetworksWorld models → World models for language agents
- Free-Lunch Long Video Generation via Layer-Adaptive O.O.D CorrectionDiffusion models → Video generation
- Probabilistic Concept Graph Reasoning for Multimodal Misinformation DetectionLLM reasoning → Multimodal reasoning
- SafeMath: Safe Solutions for Unsafe Math Word ProblemsLLM safety and security → Safety alignment, refusal and guardrails
- On-Demand Instructional Material Providing Agent Based on MLLM for Tutoring SupportLLM agents and tool use → Educational agents and math problem solving
- CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI SynthesisDiffusion models → Medical imaging and segmentation
All 445
- Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data GenerationRetrieval-augmented generation → Medical and biomedical RAG +1
- Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning ModelLLM reasoning → Reinforcement learning for reasoning
- VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion TransformersDiffusion models → Medical imaging and segmentation
- Prompt Attack Detection with LLM-as-a-Judge and Mixture-of-ModelsLLM safety and security → Prompt injection and agent security
- PIDP-Attack: Combining Prompt Injection with Database Poisoning Attacks on Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG +1
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent SkillsLLM agents and tool use → Agent skill learning and evolution
- Vision Hopfield Memory Networks for Image RecognitionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Photon: Speedup Volume Understanding with Efficient Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models +1
- OMD-GraphRAG: Enhancing GraphRAG with Ontology-Guided Extraction, Multi-Dimensional Clustering and Dual-Channel FusionRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Learning to Rank Caption Chains for Video-Text AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Reinforcement learning for quantum processes with memoryDeep reinforcement learning methods → Quantum reinforcement learning
- AnyDoc: Enhancing Document Generation via Large-Scale HTML/CSS Data Synthesis and Height-Aware Reinforcement OptimizationSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- SEVerA: Verified Synthesis of Self-Evolving AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement LearningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI AgentsLLM agents and tool use → Web, search, and research agents
- AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud ForensicsLLM reasoning → Multimodal reasoning +1
- Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual AnchorsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- Sparse Visual Thought Circuits in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion TransformersDiffusion models → Robustness, privacy and adversarial aspects
- TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and VisualizationLLM agents and tool use → Multimodal and embodied agents
- The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Closing the Confidence-Faithfulness Gap in Large Language ModelsMechanistic interpretability → Probing deception, bias and beliefs
- MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation ForecastingMixture-of-experts → MoE for time series and graphs
- ThermoAct:Thermal-Aware Vision-Language-Action Models for Robotic Perception and Decision-MakingVision-language-action models → Generalist VLA models and benchmarks
- π, But Make It Fly: Physics-Guided Transfer of VLA Models to Aerial ManipulationVision-language-action models → Aerial and drone VLA
- Mechanistically Interpreting Compression in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- From Stateless to Situated: Building a Psychological World for LLM-Based AgentsLLM agents and tool use → Social simulation and multi-agent debate
- A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning ArchitecturesKnowledge distillation → On-policy and self-distillation for LLMs
- VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated ReasoningLLM reasoning → Multimodal reasoning +2
- GDPO-Listener: Expressive Interactive Head Generation via Auto-Regressive Flow Matching and Group reward-Decoupled Policy OptimizationDiffusion models → Audio, speech and music
- Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and EvaluationLLM reasoning → Reasoning for agents, planning and code +1
- Rethinking Health Agents: From Siloed AI to Collaborative Decision MediatorsLLM reasoning → Clinical and biomedical applications +1
- MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language ModelsLLM reasoning → Reinforcement learning for reasoning +2
- LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial SystemsLLM reasoning → Reasoning for agents, planning and code
- Belief-Driven Multi-Agent Collaboration via Approximate Perfect Bayesian Equilibrium for Social SimulationLLM agents and tool use → Social simulation and multi-agent debate
- FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context ProtocolLLM agents and tool use → Financial trading and forecasting agents
- BiFM: Bidirectional Flow Matching for Few-Step Image Editing and GenerationDiffusion models → Image generation, text-to-image and editing
- Beyond Attention Magnitude: Leveraging Inter-layer Rank Consistency for Efficient Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning systemRetrieval-augmented generation → Agentic RAG, agents and memory
- TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Guided OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks +1
- COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving SystemsEnd-to-end autonomous driving → Cooperative and V2X driving
- CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis
- The AI Criminal Mastermind
- Preserving Decision Sovereignty in Military AI: A Trade-Secret-Safe Architectural Framework for Model Replaceability, Human Authority, and State Control
- Can We Locate and Prevent Stereotypes in LLMs?
- Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias
- Evidence of Layered Positional and Directional Constraints in the Voynich Manuscript: Implications for Cipher-Like Structure
- EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
- QU-NLP at ArchEHR-QA 2026: Two-Stage QLoRA Fine-Tuning of Qwen3-4B for Patient-Oriented Clinical Question Answering and Evidence Sentence Alignment
- Development of ML model for triboelectric nanogenerator based sign language detection system
- Toward Artificial Intelligence Enabled Earth System Coupling
- Evaluating Small Language Models for Front-Door Routing: A Harmonized Benchmark and Synthetic-Traffic Experiment
- CLPIPS: A Personalized Metric for AI-Generated Image Similarity
- Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security
- Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks
- Toward Actionable Digital Twins for Radiation-Based Imaging and Therapy: Mathematical Formulation, Modular Workflow, and an OpenKBP-Based Dose-Surrogate Prototype
- arg-VU: Affordance Reasoning with Physics-Aware 3D Geometry for Visual Understanding in Robotic Surgery
- Calorimeter Shower Superresolution with Conditional Normalizing Flows: Implementation and Statistical Evaluation
- Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas
- Unblur-SLAM: Dense Neural SLAM for Blurry Inputs
- Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs
- The Language of Touch: Translating Vibrations into Text with Dual-Branch Learning
- A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks
- Deep Learning Aided Vision System for Planetary Rovers
- Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning
- DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting
- Gaussian Joint Embeddings For Self-Supervised Representation Learning
- Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)
- Second-Order, First-Class: A Composable Stack for Curvature-Aware Training
- Do Neurons Dream of Primitive Operators? Wake-Sleep Compression Rediscovers Schank's Event Semantics
- BEVMAPMATCH: Multimodal BEV Neural Map Matching for Robust Re-Localization of Autonomous Vehicles
- Cluster-Adaptive Feature Extraction and its Theoretical Foundation with Minkowski Weighted k-Means
- ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations
- EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset
- Online Learning for Dynamic Constellation Topologies
- Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis
- Globalized Adversarial Regret Optimization: Robust Decisions with Uncalibrated Predictions
- Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
- Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
- DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification
- Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
- Personalizing Mathematical Game-based Learning for Children: A Preliminary Study
- Good Scores, Bad Data: A Metric for Multimodal Coherence
- Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework
- Parameter-Free Dynamic Regret for Unconstrained Linear Bandits
- Casewise and Cellwise Robust Tensor-on-Tensor Regression
- Shared Representation for 3D Pose Estimation, Action Classification, and Progress Prediction from Tactile Signals
- Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Based Transformer Models
- On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins
- Data-Driven Plasticity Modeling via Acoustic Profiling
- Polarization-Based Eye Tracking with Personalized Siamese Architectures
- Automated Quality Assessment of Blind Sweep Obstetric Ultrasound for Improved Diagnosis
- Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment
- Speech-Synchronized Whiteboard Generation via VLM-Driven Structured Drawing Representations
- Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising
- Seeing Through Smoke: Surgical Desmoking for Improved Visual Perception
- GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks
- Dynamic LIBRAS Gesture Recognition via CNN over Spatiotemporal Matrix Representation
- Methods for Knowledge Graph Construction from Text Collections: Development and Applications
- Why Safety Probes Catch Liars But Miss Fanatics
- On the Expressive Power of Transformers for Contextual Relations
- In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts
- Incorporating contextual information into KGWAS for interpretable GWAS discovery
- A Compression Perspective on Simplicity Bias
- Automated Gradient-Driven Parameter Sharing for Low-Resource Multilingual Speech-to-Text Translation
- A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau System
- Fus3D: Decoding Consolidated 3D Geometry from Feed-forward Geometry Transformer Latents
- Doctorina MedBench: A Dialogue-Based Benchmark and Evaluation Framework for Agent-Based Medical AI
- Geo2: Geometry-Guided Cross-view Geo-Localization and Image Synthesis
- MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training
- Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment
- LEMON: a foundation model for nuclear morphology in Computational Pathology
- End-to-end Feature Alignment: A Simple CNN with Intrinsic Class Attribution
- Beyond identifiability: Learning causal representations with few environments and finite samples
- Vision Transformers and Graph Neural Networks for Charged Particle Tracking in the ATLAS Muon Spectrometer
- ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactions
- Pure and physics-guided deep learning approaches for spatio-temporal groundwater level prediction
- Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis
- Challenges and opportunities for AI to help deliver fusion energy
- SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
- IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution
- Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods
- Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification
- CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
- A Survey of OCR Evaluation Methods and Metrics and the Invisibility of Historical Documents
- ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling
- Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting
- MuRF: Unlocking the Multi-Scale Potential of Vision Foundation Models
- RefAlign: Representation Alignment for Reference-to-Video Generation
- MegaFlow: Zero-Shot Large Displacement Optical Flow
- PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow
- How good was my shot? Quantifying Player Skill Level in Table Tennis
- Unleashing Guidance Without Classifiers for Human-Object Interaction Animation
- BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation
- PixelSmile: Toward Fine-Grained Facial Expression Editing
- Back to Basics: Revisiting ASR in the Age of Voice Agents
- AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
- Natural-Language Agent Harnesses
- No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models
- Seeing to Ground: Visual Attention for Hallucination-Resilient MDLLMs
- TRACE: Object Motion Editing in Videos with First-Frame Trajectory Guidance
- Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training
- A Unified Memory Perspective for Probabilistic Trustworthy AI
- LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation
- On Neural Scaling Laws for Weather Emulation through Continual Training
- Just Zoom In: Cross-View Geo-Localization via Autoregressive Zooming
- Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors
- Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening
- Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring
- Instance-optimal stochastic convex optimization: Can we improve upon sample-average and robust stochastic approximation?
- A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
- Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
- RenoBench: A Citation Parsing Benchmark
- Beyond Via: Analysis and Estimation of the Impact of Large Language Models in Academic Papers
- Designing Any Imaging System from Natural Language: Agent-Constrained Composition over a Finite Primitive Basis
- Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments
- Is Mathematical Problem-Solving Expertise in Large Language Models Associated with Assessment Performance?
- Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System
- The Geometry of Efficient Nonconvex Sampling
- Social Hippocampus Memory Learning
- DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial
- Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder
- UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animation
- The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks
- Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
- TAAC: A gate into Trustable Audio Affective Computing
- Are LLMs Overkill for Databases?: A Study on the Finiteness of SQL
- An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Single-Cell Protein Production in Saccharomyces cerevisiae
- Towards Comprehensive Real-Time Scene Understanding in Ophthalmic Surgery through Multimodal Image Fusion
- Voxtral TTS
- PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos
- ARMOR: A Robust Self-Supervised Framework for Root Cause Analysis in Microservices under Missing Modality
- Insights on back marking for the automated identification of animals
- BFMD: A Full-Match Badminton Dense Dataset for Dense Shot Captioning
- Synchronous Signal Temporal Logic for Decidable Verification of Cyber-Physical Systems
- Adaptive Subspace Modeling With Functional Tucker Decomposition
- Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training
- CHIRP dataset: towards long-term, individual-level, behavioral monitoring of bird populations in the wild
- NERO-Net: A Neuroevolutionary Approach for the Design of Adversarially Robust CNNs
- Challenges in Hyperspectral Imaging for Autonomous Driving: The HSI-Drive Case
- Conformal Prediction for Nonparametric Instrumental Regression
- Lightweight GenAI for Network Traffic Generation: Fidelity, Augmentation, and Classification
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- An Experimental Comparison of the Most Popular Approaches to Fake News Detection
- Knowledge-Guided Failure Prediction: Detecting When Object Detectors Miss Safety-Critical Objects
- Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
- AdaSFormer: Adaptive Serialized Transformers for Monocular Semantic Scene Completion from Indoor Environments
- Translation Asymmetry in LLMs as a Data Augmentation Factor: A Case Study for 6 Romansh Language Varieties
- Retraining as Approximate Bayesian Inference
- How Class Ontology and Data Scale Affect Audio Transfer Learning
- Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure
- Operational evaluation of data-driven forest fire forecasting models
- Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
- CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration
- Cross-Model Disagreement as a Label-Free Correctness Signal
- DC-Reg: Globally Optimal Point Cloud Registration via Tight Bounding with Difference of Convex Programming
- From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild
- Navigating the Prompt Space: Improving LLM Classification of Social Science Texts Through Prompt Engineering
- Decidable By Construction: Design-Time Verification for Truly Fearless Systems
- System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games
- PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders
- A Causal Framework for Evaluating ICU Discharge Strategies
- FSGNet: A Frequency-Aware and Semantic Guidance Network for Infrared Small Target Detection
- GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
- Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo
- Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
- Supercharging Federated Intelligence Retrieval
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- A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
- Image Rotation Angle Estimation: Comparing Circular-Aware Methods
- Large Language Model as Token Compressor and Decompressor
- HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT
- Beyond Detection: Rethinking Education in the Age of AI-writing
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- MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data
- Adaptive Learned Image Compression with Graph Neural Networks
- Practical Efficient Global Optimization is No-regret
- Separate Before You Compress: The WWHO Tokenization Architecture
- Towards Controllable Low-Light Image Enhancement: A Continuous Multi-illumination Dataset and Efficient State Space Framework
- DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
- Revealing the influence of participant failures on model quality in cross-silo Federated Learning
- CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learning
- SliderQuant: Accurate Post-Training Quantization for LLMs
- A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
- V2U4Real: A Real-world Large-scale Dataset for Vehicle-to-UAV Cooperative Perception
- Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis
- When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
- Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation
- ViewSplat: View-Adaptive 3D Gaussian Splatting for Feed-Forward Synthesis
- Towards Practical Lossless Neural Compression for LiDAR Point Clouds
- Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening
- Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection
- Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
- Semantic-Aware Prefix Learning for Token-Efficient Image Generation
- FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
- Fast Preemptive Robustification: High-Frequency Response Anti-Aligns Shared Vulnerability
- Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells
- A Unified Spatial Alignment Framework for Highly Transferable Transformation-Based Attacks on Spatially Structured Tasks
- An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models
- Training-free Detection and 6D Pose Estimation of Unseen Surgical Instruments
- Comparing Natural and Synthetic Structured Data: A Study of the Passive Verb Alternation in French and Italian
- Fair regression under localized demographic parity constraints
- Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
- Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
- SDD-YOLO: A Small-Target Detection Framework for Ground-to-Air Anti-UAV Surveillance with Edge-Efficient Deployment
- A CDF-First Framework for Free-Form Density Estimation
- CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging
- TacSIm: A Dataset and Benchmark for Football Tactical Style Imitation
- The Competence Shadow: Theory and Bounds of AI Assistance in Safety Engineering
- A Decade-Scale Benchmark Evaluating LLMs' Clinical Practice Guidelines Detection and Adherence in Multi-turn Conversations
- A Catalog of Basque Dialectal Resources: Online Collections and Standard-to-Dialectal Adaptations
- AnyID: Ultra-Fidelity Universal Identity-Preserving Video Generation from Any Visual References
- Probing the Lack of Stable Internal Beliefs in LLMs
- Cross-Preference Learning for Sentence-Level and Context-Aware Machine Translation
- Bilingual Text-to-Motion Generation: A New Benchmark and Baselines
- AG-EgoPose: Spatially Anchored Residual Correction with Action Context for Monocular Egocentric 3D Pose Estimation
- Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling
- To Write or to Automate Linguistic Prompts, That Is the Question
- ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis
- Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
- SportSkills: Physical Skill Learning from Sports Instructional Videos
- A Semantically Disentangled Unified Model for Multi-category 3D Anomaly Detection
- Goodness-of-pronunciation without phoneme time alignment
- Factors Influencing the Quality of AI-Generated Code: A Synthesis of Empirical Evidence
- FD2: A Dedicated Framework for Fine-Grained Dataset Distillation
- SAVe: Self-Supervised Audio-visual Deepfake Detection Exploiting Visual Artifacts and Audio-visual Misalignment
- EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions
- RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
- Robust Principal Component Completion
- Denoise and Align: Towards Source-Free UDA for Robust Panoramic Semantic Segmentation
- AirSplat: Alignment and Rating for Robust Feed-Forward 3D Gaussian Splatting
- MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
- When Sensing Varies with Contexts: Context Probing for Tactile Few-Shot Class-Incremental Learning
- Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
- MoireMix: A Formula-Based Data Augmentation for Improving Image Classification Robustness
- Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
- OMIND: Framework for Knowledge Grounded Finetuning and Multi-Turn Dialogue Benchmark for Mental Health LLMs
- Layer-Specific Lipschitz Modulation for Fault-Tolerant Multimodal Representation Learning
- From Logic Monopoly to Social Contract: Separation of Power and the Institutional Foundations for Autonomous Agent Economies
- Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization
- Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
- Pixelis: Reasoning in Pixels, from Seeing to Acting
- Learning domain-invariant features through channel-level sparsification for Out-Of Distribution Generalization
- GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
- An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
- Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation
- SIGMA: Semantic Identifier Grouping for Molecular Autoregression
- Learning Explicit Continuous Motion Representation for Dynamic Gaussian Splatting from Monocular Videos
- Synergistic Event-SVE Imaging for Quantitative Propellant Combustion Diagnostics
- GaussFusion: Improving 3D Reconstruction in the Wild with A Geometry-Informed Video Generator
- Approaches to Analysing Historical Newspapers Using LLMs
- MoRGS: Efficient Per-Gaussian Motion Reasoning for Streamable Dynamic 3D Scenes
- Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
- Uncertainty Quantification for Quantum Computing
- GeoNDC: A Queryable Neural Data Cube for Planetary-Scale Earth Observation
- Epistemic Compression: The Case for Deliberate Ignorance in High-Stakes AI
- Logarithmic High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback
- CARE: Training-Free Controllable Restoration for Medical Images via Dual-Latent Steering
- System-Anchored Knee Estimation for Low-Cost Context Window Selection in PDE Forecasting
- Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method
- Discrete Causal Representation Learning
- Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models
- A Systematic Empirical Study of Grokking: Depth, Architecture, Activation, and Regularization
- Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields
- Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
- Interpretable Zero-shot Referring Expression Comprehension with Query-driven Scene Graphs
- Distributed Real-Time Vehicle Control for Emergency Vehicle Transit: A Scalable Cooperative Method
- Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
- Relaxed Rigidity with Ray-based Grouping for Dynamic Gaussian Splatting
- C2W-Tune: Cavity-to -Wall Transfer Learning for Thin Atrial Wall Segmentation in 3D LGE-MRI
- Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
- Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
- Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning
- Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection
- The Value of Information in Resource-Constrained Pricing
- PASDiff: Physics-Aware Semantic Guidance for Joint Real-World Low-Light Face Enhancement and Restoration
- Subject-Specific Low-Field MRI Synthesis via a Neural Operator
- The Anatomy of Uncertainty in LLMs
- Self-Corrected Image Generation with Explainable Latent Rewards
- Design Once, Deploy at Scale: Template-Driven ML Development for Large Model Ecosystems
- Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
- Toward domain-specific machine translation and quality estimation systems
- Select, Hypothesize and Verify: Towards Verified Neuron Concept Interpretation
- Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For
- MobileDev-Bench: A Benchmark for Issue Resolution in Mobile Application Development
- Infinite Gaze Generation for Videos with Autoregressive Diffusion
- CVA: Context-aware Video-text Alignment for Video Temporal Grounding
- Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers
- LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
- Estimating near-verbatim extraction risk in language models with decoding-constrained beam search
- Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML
- Shaping the Future of Mathematics in the Age of AI
- ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects
- Integrated Multi-Drone Task Allocation, Sequencing, and Optimal Trajectory Generation in Obstacle-Rich 3D Environments
- On the Foundations of Trustworthy Artificial Intelligence
- Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data
- Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence
- SurgPhase: Time efficient pituitary tumor surgery phase recognition via an interactive web platform
- LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
- Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware