mlsanityData to 7 Oct 2026

Papers

New on arXiv

Fri 21 Aug 2026

365 papers

  1. Schr"odinger's Code Repository: Have LLMs Learned SWE-bench or Memorized It?LLM agents and tool use → Software engineering coding agents
  2. RelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination CorrectionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  3. MechReason: Benchmarking Multi-Image Multi-Hop Reasoning in Mechanical EngineeringLLM reasoning → Multimodal reasoning +1
  4. Test-Time Scaling for Scientific Equation DiscoveryLLM reasoning → Test-time compute and efficient thinking
  5. RedLight-VLA: Models for traffic-rule grounding and behavioral emphasis in driving policiesEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
  6. REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code RefactoringLLM agents and tool use → Software engineering coding agents
  7. From Traceability to Justifiability: Accountability Structures in Agentic Software EngineeringLLM agents and tool use → Agent threats, guardrails and governance
  8. Context as an Environment: Programmatic Context Management for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
  9. SketchFlow: Zero-Shot Vector Sketch Generation via GMM Prior Flow in CLIP Latent SpaceDiffusion models → Image generation, text-to-image and editing
  10. Mitigating Database Leakage in RAG Systems with Keyword-Grounded Fact SubstitutionRetrieval-augmented generation → Privacy and security of RAG
  11. FlowSem: Flow Matching for Adaptive Wireless Image Transmission in Semantic CommunicationDiffusion models → Diffusion for compression and wireless
  12. ExploreAI: Agentic Exploration Knowledge Bases for Reproducible Observable-Regression Testing of Black-Box VR and 3D ApplicationsLLM agents and tool use → Multimodal and embodied agents
  13. SAEM: Stage-Aware Expert Management for Memory-Efficient MoE Inference in Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking +1
  14. Semantic Compression Trees: Multi-Resolution Knowledge Retrieval via Hierarchical Semantic ResidualsRetrieval-augmented generation → Generation and context integration
  15. Can LLMs Truly Forget? Revealing Unlearning Gaps Through Adversarial EvaluationLLM safety and security → Machine unlearning
  16. Exploring Agentic Approaches for Data Issue Detection and Repair in AI-Assisted VisualizationLLM agents and tool use → Multimodal and embodied agents
  17. K-Bench: measuring model performance on real scientific agent requestsLLM agents and tool use → Web, search, and research agents
  18. Perturb the Thought, Not the Pixels: Latent-Space Rollout Diversification for Reinforcement Learning of Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  19. Reading the Room: Implicit Confusion Encoding in Recurrent World Model StatesWorld models → Latent predictive world models
  20. Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual LearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  21. Automating Multi-Hop RAG Evaluation via TRIAD: From Context Extraction to Validated Dataset GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  22. Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM AgentsLLM agents and tool use → Tool learning and function calling +1
  23. Beyond Sparse Weights: When Is Attention Compressible?Efficient LLM inference and serving → KV cache optimization
  24. DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite ImageryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  25. Neuro-Formal Verification: Agentic Language-Agnostic Formal Program ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
  26. SecOPD: Mitigating Adaptive Prompt Injections by On-Policy DistillationLLM safety and security → Prompt injection and agent security
  27. TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  28. Structural Inference in Undocumented Mobile Databases: A Reproducible Benchmark for Evaluating Agentic Reasoning in Digital ForensicsLLM agents and tool use → Web, search, and research agents
  29. Asymmetric Capacity Allocation in Self-Refinement PipelinesLLM agents and tool use → General LLM agent frameworks and benchmarks
  30. Natural-Language Workflows Are Not Software Yet: Artifact-Driven Compilation for Reliable Agent ExecutionLLM agents and tool use → Software engineering coding agents
  31. AI-to-AI Code Reviews of GitHub Pull RequestsLLM agents and tool use → Software engineering coding agents
  32. Beyond Fault Localization: A Trajectory-Level Study of LLM Agents for Microservice Root Cause AnalysisLLM agents and tool use → Software engineering coding agents
  33. Rethinking Expressivity and Efficiency in Test-Time TrainingLLM reasoning → Test-time compute and efficient thinking
  34. Re3Cap: Retrieval-Guided Refinement for Image Captioning Enhancement via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
  35. Difficulty-Calibrated Interpolation Paths for Conditional Flow MatchingDiffusion models → Flow matching, time series and science
  36. CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  37. Memory Augmentation Unlocks Efficient Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
  38. EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  39. Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
  40. SPICE: Speculative Prefetching with Low-Rank Expert Surrogates and Heterogeneous Orchestration for MoE Inference AccelerationMixture-of-experts → Efficient MoE training and inference systems +1
  41. RARE: Decoupling Representation Steering from Expert Routing in Mixture-of-Experts Language ModelsMixture-of-experts → Expert routing strategies
  42. Beyond Attention Masks: Instruction Anchoring for Efficient In-Context Diffusion GenerationDiffusion models → Diffusion foundations and sampling
  43. Personalized Privacy Control in LLMs via Attention Head InterventionLLM agents and tool use → Agent threats, guardrails and governance
  44. SlimDiffuSE: Towards Efficient Diffusion-Based Speech Enhancement using Slimmable NetworksDiffusion models → Audio, speech and music
  45. Is Visual Prompting All You Need? Studying VLM Spatial Reasoning under Progressive Visual ScaffoldsLLM reasoning → Spatial and embodied reasoning +1
  46. Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
  47. Llama-Mobile: Efficient 2.7-Bit Quantization of VLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  48. TraceGrant: A Contract-Governed Security Framework for the Task-Effect Lifecycle of Networked LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  49. CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model AgentsWorld models → World model security and GUI agents
  50. ClawSentry: A Progressive Multi-Tier Security Monitor for Safeguarding Autonomous LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  51. ReFrame: Evidence-Guided Test-Time Safety Alignment in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  52. Trustworthy RAG: An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Generative AI SystemsRetrieval-augmented generation → Privacy and security of RAG +1
  53. Designing a Robust LLM-Based Evaluation System for Agentic AI in Drug Discovery Through Human AlignmentLLM agents and tool use → Medical and scientific domain agents
  54. Z2-ACT: End-to-End Verifiable Agentic Intent Control for Open 6G RANLLM agents and tool use → Agentic AI for wireless networks
  55. Roadside-Cooperative Autonomous Driving: From Data Platform to Vision-Language End-to-End ReasoningLLM reasoning → Chain-of-thought reasoning for driving +1
  56. COMET: Contrastive Motion-Enhanced Temporal Reasoning for Video Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
  57. Don't Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM AgentsLLM agents and tool use → Agent skill learning and evolution
  58. Recognition-Conditioned Reasoning: A Training-Free Multimodal-LLM Pipeline for Fine-Grained Micro-Action UnderstandingLLM reasoning → Spatial and embodied reasoning
  59. Latent Ordinal Evidence, Misaligned Outputs: Inference-Time Ordinal Lens Alignment for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  60. Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation ModelsLLM safety and security → Backdoor and data poisoning attacks
  61. Belief Without Behavior: Measuring the Translation of Theory of Mind into Coordinated Social Action in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  62. WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous DrivingWorld models → World models for autonomous driving +1
  63. TreeWY: Speculative Verification for Gated DeltaNet HybridsEfficient LLM inference and serving → Speculative decoding
  64. Can Scientific Claims Be Removed from Large Language Models? A Systematic Evaluation of Claim-Level UnlearningLLM safety and security → Machine unlearning
  65. Neural-Primitive: An Efficient End-to-end Local Planner with Primitive-based Imitation Learning for Autonomous FlightOffline RL and imitation learning from data → Imitation learning methods
  66. The Logic of Machine Self-PreservationLLM agents and tool use → General LLM agent frameworks and benchmarks
  67. No Judgment Without a Reason: Counterfactual Receipts for Versioned AI EvaluatorsLLM agents and tool use → Agent threats, guardrails and governance
  68. Graph-Operator World Models for Morphology-Parameter Generalization in Continuous ControlWorld models → Embodied and robot world models
  69. Decoupling Policy Extraction for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  70. Generation of Web Apps with Agentic IDEs: An Empirical AssessmentLLM agents and tool use → Software engineering coding agents
  71. A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
  72. KREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMsLLM reasoning → Clinical and biomedical applications
  73. ReCurveflow: A Flow Matching Framework that Learns Curved Reaction Trajectories to Predict Transition State GeometriesDiffusion models → Flow matching, time series and science
  74. BC-Bench: Evaluating Agentic Engineering in a Domain-Specific Language for ERPLLM agents and tool use → General LLM agent frameworks and benchmarks
  75. RAG Deserves an Index: Why Ingest-Time Compilation Beats Query-Time InterpretationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  76. TRACE: Agentic Catalog Enrichment with Multi-source Evidence GroundingLLM agents and tool use → Social simulation and multi-agent debate
  77. SAC-Copula: Quality-Preserving Watermarking for Diffusion Language Models via Smooth Correlated Gumbel FieldsDiffusion models → Robustness, privacy and adversarial aspects +1
  78. Certified Multi-Turn Robustness for LLM Safety via Compositional Bounds and Safety PersistenceLLM safety and security → Jailbreaking
  79. Scaling Muon for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  80. Enhancing Localized Reasoning for Long Video Understanding via Efficient Segment-to-Video SupervisionLLM reasoning → Multimodal reasoning +1
  81. Automated Trajectory Evaluation for Mobile Agents via Step-Level Consequence Reasoning and AggregationLLM agents and tool use → Agent threats, guardrails and governance
  82. CertVLA: Certified Defense against Physical Visual Attacks for Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
  83. Structure for Reading, Prose for Writing: Asymmetric Structural Conditioning in Multi-Agent Document AuthoringLLM agents and tool use → Web, search, and research agents
  84. Rethinking Demonstration Unlearning in Imitation Learning for RoboticsOffline RL and imitation learning from data → Imitation learning methods +1
  85. Tree-of-Concerns: Hierarchical Multi-Agent Debate for Unstated-Limitation Extraction in Scientific CritiqueLLM agents and tool use → Social simulation and multi-agent debate
  86. CAS: Conformalized Agentic Search via Adaptive Retrieval and Policy WeightingLLM agents and tool use → Web, search, and research agents
  87. CARD: Diagnosing Belief to Action Routing Failures in Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  88. Fuzzy-MoE: Interpretable Regime-Conditioned Expert Routing for Non-Stationary Multivariate Time Series ForecastingMixture-of-experts → MoE for time series and graphs
  89. Vis-Poison: Poisoning Visual Knowledge in Multimodal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  90. Identity-Preserving Text-to-Video Generation via Agentic Enhancement and Semantic RepairLLM agents and tool use → Multimodal and embodied agents
  91. Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical DiagnosisEfficient LLM inference and serving → Fast autoregressive visual generation
  92. ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt ManipulationWorld models → Embodied and robot world models +1
  93. Calibrating Criterion Revision in LLM Agents: Failure Modes and a Trace-Anchored ProtocolLLM agents and tool use → General LLM agent frameworks and benchmarks
  94. AffordAny: Open-World 3D Affordance Grounding from Monocular RGB Images via Vision-Language-Guided Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
  95. DirEAG: Dirichlet Evidence Aggregation for Calibrating Verbalized Confidence in Mathematical ReasoningLLM reasoning → Test-time compute and efficient thinking
  96. ArtiMo: Agent-Driven Articulated Mesh AnimationLLM agents and tool use → Multimodal and embodied agents
  97. Temporal Validity on Real Software Histories: Eliminating Stale-Fact Errors in Code-Assistant Memory over GitHub FixesRetrieval-augmented generation → RAG for code
  98. Why2Speak: Faithful Reasoning for Abstaining Action PoliciesLLM agents and tool use → General LLM agent frameworks and benchmarks
  99. Auditable by Construction: An Ontology-Driven Framework for Trustworthy LLM Analytics in Enterprise FinanceRetrieval-augmented generation → Legal and financial RAG
  100. The Claws in Plain Sight: Unauthorized Context Disclosure through LLM Agent Tool CallsLLM agents and tool use → Agent threats, guardrails and governance
All 365
  1. ARQ: Agentic CodeQL Query Refinement for C/C++ Vulnerability DetectionLLM agents and tool use → Agent threats, guardrails and governance
  2. Minimax Optimality of Score-Entropy Discrete DiffusionDiffusion models → Diffusion foundations and sampling
  3. Sparse Token Routing in Efficient TransformersEfficient LLM inference and serving → Token pruning and merging for ViTs
  4. Weighted Memory Tree: Remembering What Matters for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
  5. On the Tightness and Computational Tractability of Higher-Dimensional Confidence Sequences
  6. Staged Depth Training: A Representation Curriculum for PINNs
  7. Spread and Scale: What Determines Whether Test-Time Budget Allocation Pays
  8. Reliable Fusion of Conflicting Experts
  9. Global tree forecasters collapse at the hierarchical aggregate: a five-panel failure characterization
  10. Spatiality-Frequency Domain Video Forgery Detection System Based on ResNet-LSTM-CBAM and DCT Hybrid Network
  11. A Resilience Recovery Method for Complex Traffic Network Security Based on Trend Forecasting
  12. Image Denoising Using Lower Semi-Frames
  13. A Shared Encoder Is Not a Shared Task: Conditional Comparison for Deep Expert Pools
  14. SolarFlowRefiner: Refinement-Aware Flow Matching for Surface Solar Radiation Downscaling
  15. Type-Driven Tokenization for Brahmic Scripts
  16. Hadronic Mono-Z Dark Matter Sensitivity with Flow Matching on CMS Open Data
  17. Omega-N: Interpretable Structural Node Descriptors and Their Applicability Domain
  18. Benchmarking General Mobile Assistants in Challenging Real-World Scenarios
  19. Why did My Robot Just Change Personality? Prompting Guidelines for a Grounded Robot Persona in LLM-Based HRI
  20. Leveraging Remote Traffic Data for Local Air Pollutant Estimation: A Scenario-Based Machine Learning Study Across London Monitoring Sites
  21. MusPyExpress: Extending MusPy with Enhanced Expression Text Support
  22. Read, Write, Relax: Why Neural PDE Surrogates Need Both Global and Local Processing
  23. SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis
  24. From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulation
  25. Measuring Activation Control in Large Language Models
  26. Why This, Not That? Mining User Profiles for Pair-wise Counterfactuals
  27. Variational Structure at the Edge of Stability
  28. Bounded Precision-Geometry Scaling for Robust Multi-Task Learning under Loss Scale Mismatch
  29. GeoQ: Geometry-Aware Conditional Quantile Error Estimation for Scientific Surrogate Models
  30. Power-Performance Characterization of TinyML Systems
  31. Piecewise Linear Equivariant Maps for Compact Groups
  32. Large-Scale Evaluation of Advanced Imputation Methods for Missing Values in Smart Meter Data
  33. Semantic Slots for Video Object-Centric Learning
  34. ChequeMark: An Ensemble Machine Learning Framework for After-Hours Business Deposit Fraud Detection
  35. Rethinking Communication Metrics: How Should We Measure Meaning?
  36. FrugalSOT - Frugal Search Over the Models
  37. Subzero matrix completion for sparse data analysis: large-scale learning of latent low-rank structure
  38. Generate in the Chart, Not on the Boundary: Function-Symbol Grounding for Hard Constraints in LTN-GANs
  39. Separating Voice from Age in COPD Screening
  40. Random Hazard Forests
  41. Reaching the Tail: Calibration Diversity Drives Conformal Coverage under Data Scarcity
  42. Predicting Early Functional Decline from Longitudinal Laboratory and Vital Sign Trajectories: A Large-Scale Study Using the All of Us Research Program
  43. Neural Network Field Theory at Finite Width
  44. Data-Driven Dynamic Algorithm Dispatch with Large Language Models
  45. Robust Lightweight Deep Learning Models for Oral Cancer Screening
  46. Sorting from Counterexamples
  47. Extending the Horizon of Early Diagnosis: Lung Cancer Prediction with Vision Transformers
  48. A Reproducible, License-Aware Distillation Recipe for CPUDeployable Safety Classification
  49. Quantifying geographic domain shift to decouple the geospatial transferability of human mobility flow generation models
  50. Loss-Parameterized Fisher Width Along Learning Trajectories
  51. Evidence-State Reliability Under Controlled Degradation: Parser-Validity Divergence in a Multi-Stage LLM Pipeline
  52. Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers
  53. Model-Based Reinforcement Learning for Heterogeneous Multi-Robot Task Assignment Under Distribution Shifts
  54. Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data
  55. presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search
  56. Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem
  57. Multimodal Injury Risk and Performance Prediction in Tennis Using Weighted Ensemble Learning
  58. What Neural Network Field Theory Can and Cannot Realise on a Computer
  59. ChemDIRT: A Diversified Instruction, Representation, and Task Benchmark for Robust Chemistry-LLM Evaluation
  60. BeTaL-GBI: Admission-Aware Benchmark Tuning and Full-Stack Verification of Geometric Belief Interfaces
  61. Let Credit Follow Computation: Architecture-Aware Credit Transport for Large Language Model Reinforcement Learning
  62. Selection of Heart Sound Segments for Synchronous Classification of Multi-channel Heart Sounds
  63. CHIMERA Challenge: Biochemical Recurrence Prediction in Prostate Cancer Patients using multimodal datasets
  64. The geometry of AI validation: From structural blindness to reusable audits
  65. MDFI: A Multi-Domain Features Integration for Compressed Video Quality Enhancement
  66. Retrieval Needs Multivectors: An Exponential Separation
  67. KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks
  68. EXPL-FR: Explaining Face Recognition Models via Vision-Language Alignment
  69. Congruence Decomposition with Neural Block Solvers for Large-Scale PCI Assignment
  70. Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs
  71. Multimodal pseudo-CT synthesis for PET attenuation correction using separate modality encoding and topogram conditioning
  72. A Data-Driven Approach to State Construction in Markov Models
  73. Persistent Magnitude Homology for Quantitative Equational Theories
  74. Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation
  75. From Subjective Judgments to Auditable Standards:Protocol-Guided AI Auditing of Website Redundancy
  76. Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification
  77. 3D Point Cloud from Close-Range Photogrammetry for Defect Characterisation of Rubberised Concrete
  78. Gauss--Hermite Quadrature for Gaussian-Mixture Entropy with an Action-Space Hermite Surrogate
  79. Spectral partitioning for k-block averaging kernels of finite Markov chains
  80. Complexity Induction: Compositional Generalization via Structured Training Distortion
  81. OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs
  82. Primal Acceleration of Newton's Method
  83. VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences
  84. AI with Authority, from Application to Silicon
  85. PerturbRx: Learning Treatment-Conditioned Latent Transitions for Patient Drug Response Prediction
  86. Truthful Calibration Measures for Sequential Prediction
  87. TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
  88. Across-Design Uncertainty in Short Pricing Panels: Inference and Identification
  89. Anatomy-Informed Neural Networks: Encoding Anatomic Priors in Loss and Architecture, with an SE(3) Formulation of Guidewire-Induced Aortoiliac Deformation
  90. Move by Move: Measuring and Steering How LLMs Conduct Psychotherapy
  91. Time-Aware Tranformer-Based Prediction Model for AECOPD
  92. Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets
  93. From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry
  94. Prompt-Model Interaction Reaches the Fixed Points: A deterministic, task-free structural readout -- and the factorizations of it that failed
  95. SPARCL: Spectral Partitioned Analytic Continual Learning
  96. When Adaptation Hurts: Connecting Representational Drift to OOD Failures in MedSAM Fine-Tuning
  97. AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization
  98. VT-MUSE: Multimodal Unified Sequential Visuotactile Representation Learning for Manipulation
  99. WildFin: An In-the-Wild Dataset for Fish Behavioral Recognition
  100. ConceptTS: LLM-Guided Concept Bottlenecks for Interpretable Multivariate Time-Series Forecasting
  101. The Coastline as a Structural Constraint: Harnessing Scene Geometry for Autonomous Surface Vessel Localization
  102. The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering
  103. On the Transferability of Agricultural Weed Detection Under Cross-Field Distribution Shift
  104. TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry
  105. Benchmarking Patent Drafting from Inventor-Style Disclosures
  106. A VLM Answer Is Not an Anomaly Score: Rank Compression Across Image and Video Anomaly Detection
  107. Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation
  108. Affective Context Amplifies Sycophancy in LLM Responses
  109. Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)
  110. Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems
  111. Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking
  112. Ontology-supported AI Model and Dataset Management
  113. Event-triggered Implicit Perturbation for Zeroth-Order Fine-Tuning of Spiking Transformers
  114. Enhancing LLMs in Predictive Political QA with Semi-Structured Data
  115. Specification Portability Across LLM Development Agents: Cross-Agent Compatibility in Specification-Driven Software Migration
  116. Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness
  117. No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
  118. Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning
  119. SENTRY: Deterministic, Intelligent Risk Assessment for IT Change Management
  120. Tydra: An Efficient Hybrid Model for Tabular Data
  121. ES-VP : Energy-Shaped Dynamic Visual Prompting for Efficient Model Adaptation
  122. Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset
  123. Anchored Regularized Direct Least Squares (ARDLS): Integrating Established Prioritization Operators for Priority Elicitation in the Analytic Hierarchy Process
  124. A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives
  125. Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning
  126. DAMOS: Learning Distortion-Aware Speech Quality Assessment through Explicit Distortion Localization
  127. SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control
  128. From Attention Masks to Inert Zero-Vector Tokens: OAttention and O-Closure for Token Dynamics
  129. Thermo-FL: Thermal-Aware Robust Federated Fine-Tuning of Large Language Models for Edge AI
  130. Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
  131. AID-Guard: Stateful Authorization for Delegated Agent Effects
  132. HIERA: Workload-Aware Planning Across Implementation Spaces for GPU Kernel Optimization
  133. Capturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning
  134. COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models
  135. A Modular Agent for Reliable and Auditable Spatial Relation Verification in CT Scans
  136. BackDFL: A Unified Benchmark For Backdoor Attacks and Defenses In Decentralized Federated Learning
  137. Stream3Dv2: Geometric-Semantic Fusion Enhanced Streaming Zero-Shot 3D Scene Understanding
  138. Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI
  139. Root cause analysis via difference graph discovery from linear time-series data
  140. Large Language Models at the Intersection of Software Engineering and Software Security:An Evidence-Centered Structured Survey and Research Agenda
  141. Atom Learning Model (ALM): how a real classroom got tokenised
  142. A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration
  143. When does fusing hand-crafted knowledge with learned representations pay? A cost-normalized benchmark of stacking, substitution, and interference
  144. When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge
  145. FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
  146. Gaussian-Mixture Latent Flow for Stochastic 3D Human Motion Prediction
  147. Can Legal AI Know When It Is Wrong? And Do Students Know When It Is?
  148. When the Feature Pool Goes Algorithmic: Extending Mufwene's Ecology of Language Evolution to LLM-Mediated Exposure
  149. Jokes Aside: Measuring the Semantic Distance of Double Meanings
  150. Causal Modeling of Adverse Pregnancy Outcomes via Adaptive LLM Proposals
  151. AudioWorldSim: Realistic Binaural Audio Datasets For World Models
  152. PromptResponse: Optimizing Prompts for LLM Coding Tasks
  153. TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics
  154. AT-ViT: Area-Targeted Multi-View Vision Transformer with Cross-Attention and Multi-Scale Patching for Plant Trait Recognition in Herbarium Images
  155. Robust Validation to Geometric Perturbations for Autonomous Pose Estimation
  156. CellPath-Bench: A Multidimensional Benchmark for Whole-Slide Cellular Representations in Pathology Foundation Models
  157. The Cost of a Physics Prior Is Bounded by the Ablation Gap
  158. CoAnchor: Robust Collaborative Perception under Spatio-Temporal Misalignment via Object-Level Anchors
  159. Socialized Division and Collaboration: Rethinking Class-Incremental Learning under Optimization Conflicts
  160. Evidence-Consistent Generative Detection under Scenario-Level Distribution Shift
  161. CoST: Semantic-Aware Urban Understanding via Spatial-Temporal Alignment
  162. Evaluating Large Language Model Performance on International Maritime Dangerous Goods Code Compliance
  163. RODE: A Radial-Orthogonal Decoupled Engine for Optimization
  164. Scaling Unsupervised Word Alignment to Documents via Structural Constraints
  165. Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge
  166. Target-Aware Calibration Data Selection for Preserving Uncertainty in Quantized Language Models
  167. From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation
  168. Dorsal Hand Images for Immersive (XR) and Privacy-preserving Age Assurance and Child Safety
  169. Triangulation-Free Bundle Adjustment with Graduated Non-Convexity for Camera Pose Refinement from Coarse Priors
  170. Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
  171. Jacobian-guided Noise Injection for Quantization Robustness in Large Language Models
  172. MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videos
  173. A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Models
  174. Training DeepFilterNet with Accurate Room Acoustic Simulations Improves Single-Channel Speech Enhancement
  175. Deep Learning Models Also Recall Features
  176. Kinematic Knowledge Maps for Pattern Alignment: Structured Latent Representational Learning in Multimodal Gait Analysis
  177. Generalizing Soft Tissue Deformation and Force Prediction Across Material Stiffness and Geometry
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  220. CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation
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  223. Dynamic Context Scheduling: Learning Beyond the Static Universe
  224. Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation
  225. M2Depth: Unifying Monocular Depth Foundation Priors with Multi-View Stereo
  226. MotionPhys: Detecting AI-Generated Videos via Physical Consistency of Optical-Flow Trajectories
  227. Do SpeechLMs Hear Their Own Opinions? Diagnosing and Mitigating Previous-Belief Contamination in Streaming Emotion Understanding
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  230. Hidden Axis of Uncertainty: Latent-Posterior Alignment in Graph Neural Networks with Bayesian Output Layers
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  238. AGIDefect-4K: A Richly Annotated Dataset for AI-Generated Image Defect Detection, Localization and Explanation
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