Papers
Tue 18 Aug 2026
381 papers
- Groundbench: Multi-Resolution Polygon Grounding Exposes the Geometry Gap in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LabourCrew: A Multi-Agent RAG Framework for Trustworthy Adversarial Deliberation and Statutory Reasoning over Labour LawRetrieval-augmented generation → Legal and financial RAG
- Task-Prototype Guided Flow Matching for Few-Shot Generalization in Vision-Language Robot ManipulationDiffusion models → Diffusion and flow policies for robotics
- Fusion-Aware Direct 3D Gaussian Generation with Structured Patch Latent FlowsDiffusion models → 3D, point cloud and scene generation
- PatchKV: Efficient KV Cache Recovery for Dynamically Edited LLM ContextsLLM agents and tool use → Software engineering coding agents +1
- Test-time Reinforcement Learning for Anomalous Video UnderstandingDeep reinforcement learning methods → RL training of language and agent models
- CoEvo: Oracle-Grounded Self-Evolution of a Single Model for Multi-Step Causal ReasoningLLM reasoning → Causal reasoning in LLMs
- Beyond the Text: Verifying That Agent-Written Papers Are Backed by Their ArtifactsLLM agents and tool use → Web, search, and research agents
- Retrieving Relations, Detecting Fallacies: A RAG Approach to Political Debate AnalysisRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Geo-VLA: Geometry-Aware Vision-Language-Action Planning via Internalization of Map SemanticsVision-language-action models → VLA for autonomous driving +1
- WorldMind: Decoupled Game World Model for State-Aware NPC BehaviorWorld models → Video-generation world models and simulators
- DesignAgent3D: Interactive 3D Scene Editing via Designer-like Multimodal ReasoningLLM reasoning → Spatial and embodied reasoning
- The Evaluation Context Protocol (ECP): A Portable Contract for AI Agent EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Jagged Frontier: Evaluating Robustness of Code Agents to Semantics-Preserving TransformationsLLM agents and tool use → Software engineering coding agents
- Depth Anything V4: Dynamic 4D Scene Reconstruction via Riemannian Flow Matching on 4D Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
- TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMsKnowledge distillation → Multimodal distillation
- One Gate Is Not Enough: Composing Stateful Pre-Action Controls for Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP AgentsLLM agents and tool use → Agent threats, guardrails and governance
- From Inference to Adaptation: A Unified Optimal Transport View of Vision Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SingularClip: Preventing Spectral Collapse to Maintain Plasticity in Continual and Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- XRF-to-Optical Field-of-View Localization with Vision Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- ComponentBench: Diagnosing Component-Level Failures in Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- Rethinking Privileged Information in On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement StudyMixture-of-experts → Efficient MoE training and inference systems
- VERAGMIL: Virtual Environment for Scooping Granular Foods with Imitation Learning ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
- ClosureBench: A Constructive Benchmark for Compositional Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Sobolev Regularized Score Difference Estimation in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- GigaBrain-WBC-0.5: A Behavior World Model for Robust Humanoid Whole-Body Tracking with Environment InteractionWorld models → Humanoid and legged locomotion world models
- Allocating Recurrent Compute in Looped Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Revisiting the "Push-T" Robot Manipulation Task with Agentic RoboticsLLM agents and tool use → Multimodal and embodied agents
- Accelerating Visual On-Policy Distillation with Batched Speculative Jacobi RolloutsKnowledge distillation → Multimodal distillation
- Hydra-0: Action Flow for Generalist World Modeling and ControlWorld models → Embodied and robot world models
- On the Fragility of Self-Improving Agents: Variance, Task Order, and UnderspecificationSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Delegation Asymmetry in Agentic Recommender Systems: Measuring Two-Sided Receptivity in Online DatingLLM agents and tool use → Social simulation and multi-agent debate
- StagedWorkspace: A Versioned Workspace for Knowledge-Work AgentsLLM agents and tool use → Software engineering coding agents
- Optimize Your Sampling: Tuned Diffusion Sampling with Bayesian OptimizationDiffusion models → Diffusion foundations and sampling
- Plug-and-Play Traffic Element Awareness for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Deep Academic Survey: Stateful Agentic Closed-Loop Paradigm for Academic Survey AutomationLLM agents and tool use → Web, search, and research agents
- The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic ReasoningLLM reasoning → Mathematical reasoning
- Memory Tree Guided Key Frame Querying for Efficient 3D Question AnsweringMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Composing Flow-Matching Energies with Known Physics: Generation, OOD Detection, and Inversion on PDE FieldsDiffusion models → Flow matching, time series and science
- AViTS: Adaptive Spatiotemporal Token Selection for Efficient Dynamic-Resolution GenerationDiffusion models → Diffusion foundations and sampling
- aDSL: Agentic 3D Creation via Joint Agent-Program DesignLLM agents and tool use → Multimodal and embodied agents
- LinCa: Accelerating Diffusion Models via Learnable Decomposed Feature CachingDiffusion models → Diffusion foundations and sampling
- Towards Zero-Shot Task Transfer with Neurosymbolic World ModelsWorld models → Latent dynamics models and model-based RL +1
- An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World ModelsWorld models → World models for language agents
- Do Large Language Models Play Six Degrees of Separation? Measuring Topological Compression in Long-Context ManifoldsLLM reasoning → Reasoning benchmarks and evaluation
- Cross-Domain Generalization in Machine Unlearning via Label-Conditioned Energy Magnitude RegularizationLLM safety and security → Machine unlearning
- Efficient RLVR Scheduling via Graph-Structured Online Difficulty EstimationLLM reasoning → Reinforcement learning for reasoning
- EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point DetectionLLM agents and tool use → Financial trading and forecasting agents +1
- PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and ExpansionLLM agents and tool use → Agent memory systems
- BEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal ModelsLLM reasoning → Multimodal reasoning +1
- AdaLens: Interactive Storyline for Monitoring and Steering Long-Running Agentic Data AnalysisLLM agents and tool use → Web, search, and research agents
- GenRec: Knowing Where to Reconstruct and Where to GenerateDiffusion models → 3D, point cloud and scene generation
- Bounded-State Restoration: Decoupling Local Restore Capacity from External LLM StateEfficient LLM inference and serving → KV cache optimization
- An Empirical Study of Reward Specification and Benchmark Reliability in GRPO-based LLM UnlearningLLM reasoning → Reinforcement learning for reasoning +1
- StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Debate Training Reduces Reward Hacking in RLAIFLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- D2ACCI: A Dual-Loop Diagnostic Protocol for Evidence-Preserving Agent MemoryLLM agents and tool use → Agent memory systems
- TINA+: Probing Residual Visual Knowledge in Unlearned Diffusion Models via Diffusion-Consistent Text-Free InversionDiffusion models → Robustness, privacy and adversarial aspects +1
- Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot SeeMixture-of-experts → MoE large language models
- Offline Multi-Agent Reinforcement Learning with a Physics-Informed World Model for Cooperative Mixed Traffic ControlWorld models → World models for autonomous driving +1
- Vision-Language Models for Analog Gauge Reading: An Empirical Study of Specialization, Transfer and ReliabilityMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data PoisoningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Beyond Suspicious Steps: Ontological Trust in Long-Horizon AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Magnitude-Direction Decoupling for Fast Video Generation with Flow Matching ModelsDiffusion models → Video generation
- Mixture-of-Expert Blocks Contain Strong Hallucination Detection SignalsMixture-of-experts → MoE large language models
- GraphWake: Group Polarization via Memory-Mediated Polarization Cascade in LLM-Agent CommunitiesLLM agents and tool use → Social simulation and multi-agent debate
- MobileWorldSafety: Benchmarking GUI Agent Safety Against Environmental Injection Attacks in Android AppsLLM agents and tool use → Agent threats, guardrails and governance +1
- rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit AssignmentDeep reinforcement learning methods → RL training of language and agent models
- Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE RoutingLLM reasoning → Test-time compute and efficient thinking +1
- Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D VisionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RetiWave-Mamba: A Dual-Stream Network for Retinal Disease Detection based on Multi-scale Context and Frequency-Adaptive Mamba ProjectionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- PathoArgus: Advancing Evidence-Grounded Long-Context Visual Reasoning across Gigapixel Whole-Slide and Multi-Slide Case ContextsLLM reasoning → Clinical and biomedical applications
- LIBERO-VIFO: Benchmarking the Capability and Safety of Visual Cue Following in Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness SafetyLLM agents and tool use → Agent threats, guardrails and governance
- tinyDSM: A Framework for Skill Modeling and Development for Resource-Constrained MillirobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Write, Execute, Refine: From Skill Follower to Skill Optimizer via Reinforcement Learning from Execution FeedbackDeep reinforcement learning methods → RL training of language and agent models
- Auditing Exposure to Harmful Content on TikTok using Multimodal Language Models: A Cross-National, Age-Stratified StudyLLM safety and security → Safety alignment, refusal and guardrails
- Reflex-Guard: A Low-Latency Guardrail for LLM Prompt Safety Using Dense Semantic EmbeddingsLLM safety and security → Safety alignment, refusal and guardrails
- No Gaussian Required: Contrastive Inverse Dynamics for JEPA World ModelsWorld models → Latent predictive world models
- CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation MethodRetrieval-augmented generation → Legal and financial RAG
- Agent Lightning v1.0: Towards Harnessed Agentic RLLLM agents and tool use → Software engineering coding agents
- Evaluating RL Explainability Methods by How Much They Help Fix Bugs in AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related TaskKnowledge distillation → Knowledge distillation for LLMs
- SE-MoLoRA: Shared-Expert LoRA Adapters for Domain-Specific Photographic AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- Embodied-Navigator: Point, Think, Memorize, and Align for Efficient NavigationLLM reasoning → Spatial and embodied reasoning +1
- SGHA: Evidence-Grounded Research Problem Discovery with Local Language ModelsLLM agents and tool use → Web, search, and research agents
- Reuse Before You Retrieve: Diagnosing Headroom and Complementarity for Test-Time Augmentation of Embodied Multimodal PoliciesVision-language-action models → Failure recovery and robustness
- When AI Designs AI: Innovation or Imitation?LLM agents and tool use → General LLM agent frameworks and benchmarks
- SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule EvolutionSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- EATR-Stereo: Embodiment-Aware Token Routing of Paired Stereo Evidence for Humanoid Vision-Language-Action ControlVision-language-action models → Tactile, force-aware and humanoid VLA
- Structure-Internalized Rule Language Model for Faithful Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure OperationsLLM agents and tool use → Software engineering coding agents
- UniReflex: Plug-and-Play Force Control for Pretrained Generative Policies via Fast-Slow ReflexOffline RL and imitation learning from data → Robot manipulation imitation learning
- Counterfactual Anatomy-guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medical VLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Prism-GRPO: Faster VLA Policy Optimization via Splitting Same-outcome GroupsLLM reasoning → Reinforcement learning for reasoning +1
- TEAMS: Text-prompted spatiotEmporal dual-heAd Mamba SnakeState-space sequence models (S4, Mamba) → Mamba for medical image analysis
All 381
- REChart: Reasoning-Efficient Chart Editing with Large Reasoning ModelsLLM reasoning → Multimodal reasoning
- GUPO: Gradient Uncertainty-aware Policy Optimization for Post-Training Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- LEGO-RL: Harness-Native Reinforcement Learning for Coding AgentsLLM agents and tool use → Software engineering coding agents +1
- Integrating Novelty and Surprise for Experience Prioritization and Exploration in Image-Based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Fair ASR: Re-Evaluating Black-Box Jailbreaks under Shared Target-Call BudgetsLLM safety and security → Jailbreaking
- Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- MoFE: A Novel Mixture-of-Experts Framework with Fourier Neural Operators for Cryptocurrency ForecastingMixture-of-experts → MoE for time series and graphs
- TileMix: Tile-Centric Mixed-Precision Attention for LLM Inference AccelerationEfficient LLM inference and serving → KV cache optimization
- MS-MFAD : Multimodal large language models for Face Anti-spoofing DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ORPA: Online Residual Policy Adaptation for Robot Manipulation Control with Human FeedbackOffline RL and imitation learning from data → Robot manipulation imitation learning
- Robust Brachiation on a Life-Sized Dual-Arm Robot Using Waypoint-Guided Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU RequirementsLLM agents and tool use → Reinforcement learning for LLM agents
- Learning What Not to Learn: Adversarial Disentangled Prompt Tuning for Robust Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- PlanPO: Group Planning-Aware Policy Optimization for Multi-Turn Agentic LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- Abra: Scaling Diffusion Image TrainingDiffusion models → Diffusion foundations and sampling
- DeAR: Decentralized Agentic Reasoning via Capability Grounding and Collaborative Thought NavigationLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Agents Act on Web3: An Attack-Surface Survey of MCP, Skills, and Tool CallingLLM agents and tool use → Agent threats, guardrails and governance
- A Hybrid End-to-End and Modular Control Architecture Toward Safe Vehicle Lateral Control: Combining Soft Actor-Critic with Model Predictive ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RLLLM reasoning → Reinforcement learning for reasoning +2
- Training-Free Agentic Computer Vision for Structural Component Detection in 2D Structural Framing PlansLLM agents and tool use → Multimodal and embodied agents
- Safe Deep Reinforcement Learning for Energy-Efficient HVAC Control in Multi-Zone Residential BuildingsDeep reinforcement learning methods → RL for energy, networks and operations
- COMIC: Reference-Aware Safety Gating for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized FinanceLLM agents and tool use → Financial trading and forecasting agents
- "AI Is Turning Too Human": How Teenagers Experience and Negotiate AI in Everyday Life
- What Confidence Routing Is Actually Doing: Auditing Routing, Calibration, and Commitment in Multi-Agent Deliberation
- When Adaptation Hurts: Split Sensitivity and Person-Level Negative Transfer in Federated Wearable Onboarding
- Safe Multi-Robot Coordination via VLM-LLM Reasoning and Reachability Analysis
- Evaluating ADC-only deep learning pipelines for breast cancer detection and segmentation using standalone diffusion-weighted MRI
- A Decade of Climate Polarization on Brazilian YouTube using Language Models
- Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Temporal Deep Learning on DWI
- Neoadjuvant chemotherapy response prediction using pretreatment diffusion and contrast-enhanced magnetic resonance imaging with clinical variables
- Retrieved-Span Training for Efficient Query-Focused Meeting Summarization on QMSum
- Privacy Personalization Trade offs in LLMs: The Impact of Stylometric Signal Reduction on User-Specific Text Generation
- A Learning Algorithm for Threshold Boolean Networks with Prescribed Fixed Points
- Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?
- Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer
- Rigorous Evaluation of Large Language Models for Malaria Drug Discovery: Trade-offs in Performance, Scale, and Resource Utility
- Ultra-High-Definition Restoration Transformers with Correlation Matching Transformation
- Mapping General-Purpose AI Governance in Twenty AI Middle-Power Jurisdictions
- What Does an Evaluation License? A Commit-Bound Census of Claim Replay in Inspect Evals
- Incident-Data Robustness Analysis of the OWASP Top 10 for LLM Applications (2026): How a Community-Expert Ranking Holds Up Against a Large-Scale LLM Incident Corpus
- Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation
- Inference and Uncertainty Quantification for Streaming r-PCA
- Optic Disc Segmentation in Fundus Images: From Classical Image Processing and Deformable Models to Modern AI
- Figurative and Cultural Knowledge in LLMs: Investigating Cross-Domain Transfer through Fine-Tuning
- Coupled-cluster molecular properties across the main group that extrapolate beyond training size
- Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring
- Measuring the Partial-Credit Gap: A Strict Benchmark on Vietnam's 2025 Convex Marking Scheme
- When Does Dynamic Ensembling Pay Off? Diagnosing Regionwise Gains in Regression under Distribution Shift
- Governance Records as Supervision: Verifier-Selected Self-Training for Structured Workflow Repair
- Reproducible Multimodal Affordance Prediction
- A Configurable Privacy-Preserving MRI Processing Workflow Using Deep Learning-Based Brain Extraction and Adaptive Anatomical Preservation
- Artifact-centered Claim-aware Observability for Autonomous Scientific Agents
- FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
- High-Flux Count-Free Single-Photon 3D Cameras
- Acquisition Geometry-Assisted Whole-Group Localization of X-ray Fluorescence Maps in Optical Microscopy Images
- SESSE: Sketch, Expand, Sort, Summarize, Evaluate -- LLM-as-Judge Evaluation via Structured Decomposition
- The Lifecycle of LLM-as-a-Judge for Large-Scale Recommendation Explanations
- FairGlucose: A CGM Fairness Benchmark Reveals Subgroup Disparities Hidden in Population-Level Validation
- Debiased Inference for AI-Generated Data without Gold-Standard Labels: Identification via Multiple Imperfect Measurements
- GuideFetch: A Task Coordination Framework for Concurrent Navigation and Object Retrieval in Assistive Robot Dogs
- Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application
- QuARC-GS: Quantized Anchored Residual Coding for Compact Dynamic Scene Streaming with Gaussian Splatting
- Self-supervised In-context Operator Learning for Stochastic Mean-Field Control
- What Makes Software Issue Resolution Tasks Difficult for Agents?
- A Comprehensive Review of Large Language Models for Nanophotonics: From Surrogate Modeling to Autonomous Design
- Model Card for OpenAI Privacy Filter
- SeisEvo: Evolution of Seismic Data Reconstruction Algorithms by Agents
- Global Crises and National Policies: A Large Scale Analysis of Political Content in German Language Online Media
- Modeling Human Behavior with Type Vectors Using AI
- SIGMA: Symmetry-aware, Intelligent, Geometric, Multi-faced Adaptive Traffic Control for Reliable Intelligent Transportation Systems
- Redakto - The Incognito Tab for LLMs
- Visual-Prompt Guided Wildlife Instance-Level Recognition
- Bidirectional representational alignment between biological and artificial neural networks
- Zero-Shot Transfer of Force Map Estimation Across GelSight Mini Sensors
- GenEx: A Graph-Based Representational Paradigm for SARS-CoV-2 Variant Detection via Codon Co-occurrence Networks
- Classifying Directional Trajectories Near Criticality in the Three-State Majority-Vote Model with Deep Belief Networks and Bidirectional GRUs
- Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth
- LumiTokens: 3D Relighting via Token-Space Lighting Transformation
- On the Triangle Inequality for the Jaccard Distance in Arbitrary Lattices
- Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
- ChiroEcho: extending automated bat vocalisation classification beyond the learned taxonomy
- Safe Domain Adaptation for Physics: Overcoming Nuisances, Label Shifts, and Simulation Priors
- A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
- What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
- H2EDL: Hyper Evidential Deep Learning for Hierarchical Classification
- Human-Centric Intelligence in the Era of Foundation Models: A Survey
- Efficient INT8 Inference of Small NLP Models on Server CPUs with PyTorch Native Stack
- Fair Multi-View Determinantal Coresets via Adaptive NEPv
- Trust as a Field: A Macroscopic Representation for Vehicular Networks
- Towards Reversible Forgetting: Managing Obsolete Knowledge in Continual Enterprise AI Agents
- From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation
- Multi-Agent AI System for Radiology Report Structuring and Quality Assurance with Independent Radiologist Evaluation
- EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing
- TokEval: A Tokenizer Evaluation Suite
- The concentration game: Bayesian updating, regret, and information
- HLSR: Hybrid Live Forecast Selective Dynamic Vehicle Rerouting for Real-Time Congestion Avoidance
- Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
- Language Has Two Parameters: Narrative-Induced Semantic Plasticity and Phase-Sensitive Interpretation
- Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
- Where A Small Language Model Helps in Invoice Categorisation, Understood Through Embedding Geometry
- Initialization-Free Bundle Adjustment Revisited: A Controlled Experimental Study
- Chain-of-Experience for Continual LLM Improvement
- TabNSM: Neural Sparse Mixer for Tabular Regression
- How Far Should Tokenization Go? Predictive Effectiveness and Relational Losslessness
- Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule
- Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
- Automated ACL Footprint Identification Using 3D Deep Learning
- Traceable Trust for action-ready artificial intelligence in bioscience
- Judge, Retrieve, or Abstain: Uncertainty-Guarded LLM Judging with Provable Risk Guarantees
- GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation
- Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
- Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcity
- Recirculation
- When Writing Style Drifts: Benchmarking Authorship Verification under Distribution Shifts in Genre, Time and the AI-Era
- Evaluating and improving crop-yield forecasting methods during extreme drought
- SFMformer: A Spatial-Frequency Modulation Transformer for Lightweight Image Super-Resolution
- Too Sure to Be Safe: Model Calibration for Reliable Log Anomaly Detection
- Understanding the Surprising Generalization Properties of Tabular Foundation Models
- SIGMA: SHAP-Guided Implicit-Trajectory Generation for Metadata-Free LLM-Based AutoFE
- Procedural Content Metageneration via Program Search and Continual Abstraction Discovery
- Grading Needs a Rubric, Not Intelligence
- Beyond Instrument Motion: Recognizing Tissue Tension Toward Surgical Skill Assessment
- Collective Counterfactual Planning: Coordination, Consent, and Verification under Representational Constraints
- SpeechSense: A Paralinguistic-Focused Dataset for Fine-Grained Speech Sentiment Analysis
- Adaptive Policy Portfolios for Robust Markov Decision Processes
- A Theoretical Framework for Parallel Lifelong MAPF Using Group Decentralized Planning
- AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad-CAM
- Analysis of Types of Inquiries in Student-AI Interaction: A case study of two CS2 tasks
- Comparative Study of Out-of-the-Box Technology for Automatic Target Detection and Recognition
- Hybrid ML for Lightweight Pre-Route Delay Estimation in Open-Source IC Design
- An RKHS Framework for Fixed Effects in Permanental Process Models
- AutoResearch: Insight In, Hallucination Out
- Dynamic Compression in Recurrent Networks
- A Residual Learning Approach for Unsteady Aerodynamic Load Prediction
- VisDocAgentBench: Benchmarking Agents for Visually Rich Document Retrieval
- CFB-GBM v2.0: An Augmented Longitudinal Dataset for Multi-Modal Glioblastoma Segmentation, Radiomics, and RANO Progression Tracking
- Improving Complex Moir'e Removal with Generative Supervision
- DistillPath: An Efficient 22M Distilled Pathology Encoder Approaching Large Foundation Model Performance
- BayesPrompt: human readable prompts that make sense
- ARASH: Adaptive Retrieval And Shot Selection for Tabular Prediction
- Efficient Resource Optimization for Split Federated Learning
- MoRAX: Mobility-based Representation Augmentation for Geospatial Foundation Models
- Encoded but Not Actionable: Auditing the Decode-Generate-Steer Gap in Frozen LLMs for Geometric Constraints
- Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits
- Leveraging Association Context Retrieval in Knowledge Edit- ing to Build White-Box Attacks on LLMs
- The Model's Tell: Measuring Context-Leakage Attack Signals with Behavior Gauges
- From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public Sector
- MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Assessment Under Time Pressure
- Spatially explicit feature importance for building height estimation using research-access high-resolution SAR and optical sensors
- Interpretable Humans, Alien LLMs: Expert Analysis of Latent Structures in Assessment Responses
- Whether LLMs Can Navigate Beliefs and Facts Depends on How You Phrase It
- Scale Matters: Adaptive Granularity Selection for Cross-Species 3D Plant Organ Segmentation
- Fourth-Moment Geometry of Rademacher Sums
- Training with synthetic data for drone detection in thermal imagery
- Diff-DDoS: Realistic Cyber-Physical Attack Synthesis and Robust Detection for 5G-Enabled CPS Using Tabular Diffusion Models
- TraceSQL: Traceable Answerability Estimation for Reference-Free Text-to-SQL Verification
- ETHEREAL: A 25.6-μs/inf. Low-latency Event-driven Graph-neural-network Processor for High-resolution Vision at the Edge
- Preference Is Not Intervention: The Structure and Stability Boundaries of Reader-Specific Evidence Utility
- Training-Free Human-in-the-Loop Anomaly Detection via Memory Bank Correction
- Learnware for CSI Feedback: Scene-specific Small Models Can Do Big
- MAGPIE-Net: Predicting short-duration heavy-rainfall events in station neighborhoods from multitemporal FY-4A AGRI observations
- The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting
- Neuro-symbolic learning over OWL 2 DL via consequence-based compilation to differentiable circuits
- Evaluating the Diversity of AI-Generated Content with Diversity Profiles
- Evaluation of AI-based Visual Crack Detection in Steel Bridges Using Probability of Detection
- VERaiPHY -- Validation & Evaluation for Robust AI in PHYsics
- What Aggregate Scores Miss: Measuring Item-Level Regressions in Commercial LLM API Migrations
- Communicating Credit Risk with Large Language Models: Evaluation of Explanations from Standard and Alternative Data-Based Models
- Cross-View Correspondence Is a Measurement Intervention: Two-Sided Validation for Agent Evaluation and Credit Assignment
- Accuracy and Robustness of Model Cascades Under Data Perturbations
- DynaForcing: Overcoming Dynamic Collapse in Self-Forcing Distillation for Streaming Avatar Generation
- Monitoring Pasture Restoration from Satellite Image Time Series: Caveats and Opportunities
- Dijkstra as an Oracle for Online Stochastic Shortest Path Navigation with Provable Guarantees
- Environment-Invariant Subspace Learning for Generalizable Deepfake Detection
- GADR: Gathering Architecture Decision Records from Meeting Transcriptions
- Auditing Self-Evolution in Financial Agents: Capability Gains, Security Drift, and Execution-Interface Mismatch
- Differentiable Voronoi Ray Tracing Beyond Rasterization Speeds
- Conformal Prediction for Molecular Properties under Label Shift
- Benchmarking Automated Security Patch Backporting: How Far Are We?
- Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors
- Is Haar Enough? Exploring Symlets and Coiflets for Wavelet Convolution Layers
- Denoised Variance-Based Pruning with Optimal Brain Bias Compensation
- Elimination Geometry
- LLM-Derived Preference Judgments Are Not Self-Consistent
- MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation
- Graph Surgery and the Do-Operator: A Precise Correspondence for Acyclic Structural Causal Models
- DEPT: Document Embedding Preservation Tuning for Unified Query Expansion and Retrieval
- Validated Adaptation for Aerial Crowd Monitoring at Mass Gathering Scale: A Deployment Protocol, a Severity Law, and a Diagnostic for Label-Free Drone Crowd Counting, Toward the FIFA World Cup 2034 (Saudi Arabia)
- OOD Detection for EEG-based Machine Learning in High-Risk Environments
- From Student Risk Prediction to SC2R: Semantics-Constrained Counterfactual Recourse for Educational Decision Support
- MoNe: Modular Neural Memory for Efficient Long Context Inference
- Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges
- SpurCon: Weighted Supervised Contrastive Learning for Mitigating Spurious Cues in Medical Imaging
- Modified Bryson-Frazier Smoothing and Hyperparameter Learning for Temporal Gaussian Process Regression
- Communication Reduction via Semantic-Based Encoding in DMPC Using LSTMs
- TRUSS: Towards Task-Reliable and User-Safe Automated Agent Skill Generation
- Quantifying Risk Under Evolving Uncertainty: Belief-Dependent Robustness for Safe Sequential Decision Making
- Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and Tight Coordinatewise Rates
- DMT-Dens: Density-preserving manifold visualization for biological data
- Domain-Adapted Molecular Language Models for Efficient Search of Make-on-Demand Libraries
- CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing
- Where a New Concept Must Enter: Entry Point Gates Cross-Task Usability in Unified Multimodal Models
- Leveraging existing sparse point annotations for benthic imagery dense segmentation
- MSEditor: Toward Consistent Multi-Shot Video Editing
- Code as Representation: A Compilable Parsing Paradigm for Academic Documents
- GroupForward: Building Referable 3D Scenes via Instance-Grouped Feed-Forward Gaussian Splatting
- ArborMem: Navigating Interaction States with Memory Forests
- Regularization of Statistical Inverse Problems on Non-Reflexive Banach Spaces
- When to Review: Spaced Repetition for Continual Pre-Training of Language Models
- Explainable AI-Powered Framework for Video-Based Skill Assessment in Cataract Surgery
- BrainNorm: A Foundation Model that knows Normal via Semantic Atlas Pretraining
- Looking Beyond the Scale: Do Surgical Skill Models Learn Transferable Representations Across Assessment Rubrics?
- Effects of Answer Format Variation on Gender Bias in Large Language Models
- Towards Better Agents for Multi-Turn User Interaction: The Next User Turn Is More Than Context
- When More Foundation Models Means Less: Diagnosing and Addressing Multi-View Fusion Failure
- NeuroPath: Brain-Inspired Dual-Pathway Graph Convolutional Networks for Skeleton-Based Action Recognition
- S3AM: A Single-Stream SAM with Reliability-Calibrated Frequency Adapter for Multi-modal Salient Object Detection
- Online Generalized Sparse Regression: How Does Overparametrization Help?
- From Entity Mentions to Tone: An LLM-Based Pipeline for Media Bias Analysis
- Causal Local States: Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems
- Nonlocal Transition Kernel for Efficient Learning of Restricted Boltzmann Machines
- NGS-Marker: Robust Native Watermarking for 3D Gaussian Splatting
- Decomposition Attacks Across Unlinkable Identities: Limits of Stateful Defenses for LLM Services
- General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
- Depth Enables Local Entropy: Quadratic Depth Dependence in Deep Variation-Norm ReLU Regression
- SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation
- GSToken: Geometry-Structured Gaussian Tokens for Compact 3D Medical Image Representation
- TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection
- SPVC: Structured and Panoptic Video Fixing for Cross-Dataset Driving Scene Rendering
- Spectral Gradient Orthogonalization Improves Differentially Private Training at Scale
- An Investigation of Translationese in the Generations of Multilingual Large Language Models
- To Remove or Not to Remove Clouds: A Comparative Analysis and Fusion of Raw SAR and Synthetic NDWI for Overcast Water Segmentation
- Noisy group neurons with synchronous resetting for high-performance spiking neural networks
- GeoWeaver: Accurate Long-Sequence 3D Reconstruction via Hierarchical Geometric Assembly
- Leveraging generative hallucination and biophysics-informed modeling for unified biomolecular sequence-structure co-design
- PTXBench: Benchmarking and Adapting LLMs for GPU Kernel Optimization with Architecture-specific PTX
- On the Pseudo-Mixing of Kac's Walk
- Pathology Transport: Optimal-Transport Explanations for Clinical Data, and When Their Heatmaps (Fail to) Localize Disease
- CORAM: Coherent Orthogonal Rotation for Model Merging
- Continuity-Driven Representation Learning for Industrial Defect Detection
- ArguLens: An Open-Source System for Automated Essay Scoring and Label-Aware Feedback Generation
- Cognitive Graph Intelligence for Adaptive and Robust DDoS Attack Detection in Next Generation Networks
- Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing
- Inductively Scalable, Single-Step Neural Surrogates for Wave-Scattering Inverse Problems
- Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
- LLM-Only PDDL Domain Repair with Open-Weight Models
- Learning latent progression states from spatial heterogeneity in uterine histopathology
- SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting
- LLMs for Medical Consultation Are Evaluated Too Late: The Preformulation Gap
- What Tokens are Learned when Tokenization is Optimized Jointly with Language Modeling?
- Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents
- If, Then, Otherwise: Diagnosing Conditional Branching in Vision-Language Navigation
- Scanline-Aware Animatable Gaussian Avatars from Rolling-Shutter Videos
- NeuroAbs: A Neuro-Symbolic RTL Abstraction Framework for Property Checking Acceleration
- LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models
- 3D Gaussian Accelerated Ray Tracing: Fast training through particle-based backward propagation
- Beyond MSE: Rethinking the Evaluation Metric and Benchmarking for Irregular Time Series Forecasting
- B-Spline Embedded Structure Learning for 3D Tooth Segmentation
- Q-Interference: Memory-Efficient Phase-Aware Quantum-Inspired Attention
- Rethinking Irregular Time Series Forecasting from the Perspective of Basis Functions
- UniQuery4R: Unified 4D Scene Reconstruction from a Single Query
- Key-Frame Reasoning with SAM3: Third Place Solution for the MeViS-Text Track of the 8th LSVOS Challenge
- ASI-Bench: At the Dawn of Artificial Superintelligence
- Do LLMs Know a Good Hypothesis When They See One? Logit-Based Energy Scoring Outperforms Prompted LLM-as-Judge for Scientific Hypothesis Ranking
- Understanding Curriculum Learning in Large Language Models via Cross-Difficulty Optimization Dynamics
- Nonadaptive Learning in Robust Nonlinear Output Regulation
- Minimax Optimal Estimator and Improved Error Rate for the MLE in Logistic Regression with Gaussian Design
- Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
- Heterogeneity-Aware Deep Learning for Tumour Classification from Multiparametric MRI
- Adaptive surrogate modeling for high-dimensional spatio-temporal output
- Information fusion and machine learning for sensitivity analysis using physics knowledge and experimental data
- Explicit State Elicitation Is Not Enough: A Controlled Audit of Memory-Policy Classification
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication
- Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data
- Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection
- Probing Association Instability with Track-State Perturbations for Clip-Level Active Learning in Query-Propagation Multi-Object Tracking
- Temporal Leakage in Financial News NLP: A Multi-Architecture Audit with a Regime-Specific M&A Signal
- The Plot Thins: Uniformity and Linearity in Literary Summaries