mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 10 Oct 2025

455 papers

  1. Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision SupportLLM agents and tool use → Multimodal and embodied agents
  2. Modeling Layered Consciousness with Multi-Agent Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
  3. How Good Are LLMs at Processing Tool Outputs?LLM agents and tool use → Tool learning and function calling
  4. ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent CoordinationLLM agents and tool use → Financial trading and forecasting agents
  5. VisuoAlign: Safety Alignment of LVLMs with Multimodal Tree SearchLLM reasoning → Reasoning for agents, planning and code +3
  6. Users as Annotators: LLM Preference Learning from Comparison ModeLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  7. A Linguistics-Aware LLM Watermarking via Syntactic PredictabilityLLM safety and security → Watermarking generated content and models
  8. Bridging the Semantic Gap: Contrastive Rewards for Multilingual Text-to-SQL with GRPOLLM reasoning → Knowledge- and tool-augmented reasoning
  9. AI Agents for the Dhumbal Card Game: A Comparative StudyDeep reinforcement learning methods → RL for games and combinatorial optimization
  10. HeadsUp! High-Fidelity Portrait Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  11. Don't Throw Away Your Pretrained ModelLLM reasoning → Reasoning benchmarks and evaluation
  12. Agentic Property-Based Testing: Finding Bugs Across the Python EcosystemLLM agents and tool use → Software engineering coding agents
  13. The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMsLLM reasoning → Audio-language model reasoning
  14. Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and PhysicsLLM agents and tool use → Web, search, and research agents
  15. Overconfident and Blind to Details: Fixing Prompt Insensitivity with Abductive Preference LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  16. DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context ReasoningLLM reasoning → Test-time compute and efficient thinking
  17. WARC-Bench: Web Archive Based Benchmark for GUI Subtask ExecutionsLLM agents and tool use → Web, search, and research agents
  18. CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMsLLM safety and security → Safety alignment, refusal and guardrails
  19. Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  20. Text Prompt Injection of Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  21. How can we assess human-agent interactions? Case studies in software agent designLLM agents and tool use → Software engineering coding agents
  22. Causality neq Decodability, and Vice Versa: Lessons from Interpreting Counting ViTsMechanistic interpretability → Circuits and mechanistic analysis
  23. Enhancing Diffusion Policy with Classifier-Free Guidance for Temporal Robotic TasksDiffusion models → Diffusion and flow policies for robotics
  24. The Geometry of Reasoning: Flowing Logics in Representation SpaceLLM reasoning → Reasoning benchmarks and evaluation
  25. Building a Foundational Guardrail for General Agentic Systems via Synthetic DataLLM agents and tool use → Agent threats, guardrails and governance +2
  26. GOLD PANNING: Strategic Context Shuffling for Needle-in-Haystack ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  27. PatentVision: A multimodal method for drafting patent applicationsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  28. Constructive Distortion: Improving MLLMs with Attention-Guided Image WarpingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  29. VisRAG2.0: Mitigating Visual Hallucinations via Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented GenerationLLM reasoning → Multimodal reasoning +2
  30. A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic SystemLLM agents and tool use → Software engineering coding agents
  31. Preference-Aware Memory Update for Long-Term LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
  32. All Code, No Thought: Current Language Models Struggle to Reason in Ciphered LanguageLLM reasoning → Reasoning for agents, planning and code
  33. SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
  34. StreamingVLM: Real-Time Understanding for Infinite Video StreamsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  35. VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert DistillationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  36. SpaceVista: All-Scale Visual Spatial Reasoning from mm to kmLLM reasoning → Spatial and embodied reasoning
  37. Prompting Test-Time Scaling Is A Strong LLM Reasoning Data AugmentationLLM reasoning → Test-time compute and efficient thinking
  38. Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language ModelsLLM reasoning → Audio-language model reasoning
  39. Vision Language Models: A Survey of 26K PapersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  40. Dyna-Mind: Learning to Simulate from Experience for Better AI AgentsLLM reasoning → Reasoning for agents, planning and code
  41. Safe, Untrusted, "Proof-Carrying" AI Agents: toward the agentic lakehouseLLM agents and tool use → Agent threats, guardrails and governance
  42. TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion ControlDiffusion models → Diffusion foundations and sampling
  43. A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across LanguagesLLM reasoning → Reasoning benchmarks and evaluation
  44. Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling
  45. Guiding Energy-Efficient Locomotion through Impact Mitigation RewardsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  46. SPG: Sandwiched Policy Gradient for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
  47. Mitigating Overthinking through Reasoning ShapingLLM reasoning → Test-time compute and efficient thinking
  48. Conditional Flow Matching for Bayesian Posterior InferenceDiffusion models → Flow matching, time series and science
  49. StatEval: A Comprehensive Benchmark for Large Language Models in StatisticsLLM reasoning → Reasoning benchmarks and evaluation
  50. MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal RetrievalLLM reasoning → Multimodal reasoning
  51. Toward Autonomous Soft Robotic Endovascular Navigation via Imitation LearningOffline RL and imitation learning from data → Safe offline RL
  52. Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
  53. FOGMACHINE -- Leveraging Discrete-Event Simulation and Scene Graphs for Modeling Hierarchical, Interconnected Environments under Partial Observations from Mobile AgentsLLM agents and tool use → Multimodal and embodied agents
  54. Multimodal Policy Internalization for Conversational AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  55. D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  56. Hybrid Models for Natural Language Reasoning: The Case of Syllogistic LogicLLM reasoning → Reasoning benchmarks and evaluation
  57. Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real WorldLLM safety and security → Machine unlearning
  58. Adaptive Attacks on Trusted Monitors Subvert AI Control ProtocolsLLM agents and tool use → Agent threats, guardrails and governance +1
  59. Failure Prediction at Runtime for Generative Robot PoliciesDiffusion models → Diffusion and flow policies for robotics +1
  60. KORMo: Korean Open Reasoning Model for EveryoneLLM reasoning → Reasoning benchmarks and evaluation
  61. Agentic Systems in Radiology: Design, Applications, Evaluation, and ChallengesLLM agents and tool use → Medical and scientific domain agents
  62. Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for GraphLLM reasoning → Prompting and chain-of-thought reasoning
  63. Don't Tell the Answer, Truly Guide the Reasoning During RL RolloutsLLM reasoning → Reinforcement learning for reasoning
  64. Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Markov LikelihoodLLM reasoning → Reinforcement learning for reasoning
  65. Minkowski-MambaNet: A Point Cloud Framework with Selective State Space Models for Forest Biomass QuantificationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  66. BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual PerceptionLLM reasoning → Multimodal reasoning +1
  67. Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  68. Logit Arithmetic Elicits Long Reasoning Capabilities Without TrainingLLM reasoning → Test-time compute and efficient thinking +1
  69. ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
  70. Deductive Logic in Language Models: Horizontal vs Vertical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  71. Efficient Bayesian Inference from Noisy Pairwise ComparisonsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  72. FLRC: Fine-grained Low-Rank Compressor for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  73. Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  74. Rate optimal learning of equilibria from dataOffline RL and imitation learning from data → Imitation learning methods
  75. RadioFlow: Efficient Radio Map Construction Framework with Flow MatchingDiffusion models → Diffusion for compression and wireless
  76. Verifying Chain-of-Thought Reasoning via Its Computational GraphLLM reasoning → Prompting and chain-of-thought reasoning
  77. Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM InferenceEfficient LLM inference and serving → Diffusion LLM and MoE inference
  78. CapGeo-Bench: Decoupling Visual Perception from Reasoning and Evaluating Geometric UnderstandingLLM reasoning → Spatial and embodied reasoning +1
  79. Spotlight on Token Perception for Multimodal Reinforcement LearningLLM reasoning → Multimodal reasoning +2
  80. CLARity: Reasoning Consistency Alone Can Teach Reinforced ExpertsLLM reasoning → Reinforcement learning for reasoning
  81. Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic EvaluationLLM reasoning → Clinical and biomedical applications
  82. MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel UnderstandingLLM reasoning → Multimodal reasoning
  83. Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical ObjectsVision-language-action models → Safety and adversarial attacks +1
  84. CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
  85. GREAT: Generalizable Backdoor Attacks in RLHF via Emotion-Aware Trigger SynthesisLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  86. Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic EntropyMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  87. DSPO: Stable and Efficient Policy Optimization for Agentic Search and ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  88. Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  89. On the Robustness of Vision-Language Models in Zero-shot Privacy ClassificationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  90. Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options HedgingDeep reinforcement learning methods → Adversarial robustness and RL in finance
  91. Fundamentals of Building Autonomous LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  92. RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex ProblemsLLM reasoning → Reasoning benchmarks and evaluation
  93. FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +3
  94. Stable Video Infinity: Infinite-Length Video Generation with Error RecyclingDiffusion models → Video generation
  95. DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought CorrectionLLM reasoning → Prompting and chain-of-thought reasoning
  96. Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable OptimizationDiffusion models → Diffusion and flow policies for robotics
  97. LLaMAX2: Your Translation-Enhanced Model also Performs Well in ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  98. Student Development Agent: Risk-free Simulation for Evaluating AIED InnovationsLLM agents and tool use → Educational agents and math problem solving
  99. Augmenting Dialog with Think-Aloud Utterances for Modeling Individual Personality Traits by LLMLLM reasoning → Reasoning benchmarks and evaluation
  100. Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement LearningLLM agents and tool use → Web, search, and research agents
All 455
  1. On the Provable Performance Guarantee of Efficient Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  2. MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei SegmentationDiffusion models → Medical imaging and segmentation
  3. DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel TranslationLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  5. When a Robot is More Capable than a Human: Learning from Constrained DemonstratorsOffline RL and imitation learning from data → Robot learning from demonstration
  6. Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image GenerationDiffusion models → Diffusion foundations and sampling +1
  7. Exploiting Web Search Tools of AI Agents for Data ExfiltrationLLM agents and tool use → Agent threats, guardrails and governance +1
  8. MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space ModellingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  9. FLToP CTC: Frame-Level Token Pruning via Relative Threshold for Efficient and Memory-Saving Decoding on Diverse PlatformsEfficient LLM inference and serving → KV cache optimization
  10. ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and InterpretabilityLLM reasoning → Test-time compute and efficient thinking
  11. Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow MatchingDiffusion models → Flow matching, time series and science
  12. Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT PerfusionDiffusion models → Medical imaging and segmentation
  13. Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data DistillationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  14. Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning ApproachEnd-to-end autonomous driving → Adversarial scenarios and safety testing +1
  15. Auto-scaling Continuous Memory for GUI AgentLLM agents and tool use → GUI and mobile agents
  16. RoDyn: Taming Interactive Robot-Dynamic 2.5D World Model for Robotic ManipulationWorld models → Embodied and robot world models
  17. The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt InjectionsLLM safety and security → Jailbreaking
  18. RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic WorkflowsLLM agents and tool use → Educational agents and math problem solving
  19. Slim Scheduler: A Runtime-Aware RL and Scheduler System for Efficient CNN InferenceDeep reinforcement learning methods → RL for energy, networks and operations
  20. DiTSinger: Scaling Singing Voice Synthesis with Diffusion Transformer and Implicit AlignmentDiffusion models → Audio, speech and music
  21. On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  22. LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked DataLLM safety and security → Machine unlearning
  23. Decoupling Safety into Orthogonal Subspace: Cost-Efficient and Performance-Preserving Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  24. DARO: Difficulty-Aware Reweighting Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
  25. Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent EvaluationLLM agents and tool use → Software engineering coding agents
  26. Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided SearchLLM reasoning → Test-time compute and efficient thinking
  27. MASA: LLM-Driven Multi-Agent Systems for AutoformalizationLLM agents and tool use → General LLM agent frameworks and benchmarks
  28. Towards Efficient Multimodal Unified Reasoning Model via Model MergingLLM reasoning → Multimodal reasoning +1
  29. Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls ShortLLM reasoning → Knowledge- and tool-augmented reasoning
  30. Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RLLLM reasoning → Reinforcement learning for reasoning +1
  31. MIRAGE: Runtime Scheduling for Multi-Vector Image Retrieval with Hierarchical DecompositionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  32. Unleashing Perception-Time Scaling to Multimodal Reasoning ModelsLLM reasoning → Multimodal reasoning +1
  33. DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer ReconstructionLLM reasoning → Knowledge- and tool-augmented reasoning
  34. EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative MemoryRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  35. When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement ApproachLLM agents and tool use → Web, search, and research agents
  36. FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  37. RO-Bench: Large-scale robustness evaluation of MLLMs with text-driven counterfactual videosMultimodal LLMs / vision-language models → Video understanding with MLLMs
  38. Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
  39. RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM EvaluationLLM reasoning → Test-time compute and efficient thinking +1
  40. Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex DomainsDiffusion models → Flow matching, time series and science
  41. LM Fight Arena: Benchmarking Large Multimodal Models via Game CompetitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  42. Defense against Unauthorized Distillation in Image Restoration via Feature Space PerturbationKnowledge distillation → General knowledge distillation methods
  43. PHyCLIP: ℓ1-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  44. Beyond Words: Infusing Conversational Agents with Human-like Typing BehaviorsLLM agents and tool use → Social simulation and multi-agent debate
  45. Autoencoding-Free Context Compression for LLMs via Contextual Semantic AnchorsEfficient LLM inference and serving → Prompt and context compression
  46. Pinpointing crucial steps: Attribution-based Credit Assignment for Verifiable Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
  47. HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton GuidanceLLM reasoning → Knowledge- and tool-augmented reasoning
  48. Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVRLLM reasoning → Reinforcement learning for reasoning
  49. Model-Based Lookahead Reinforcement Learning for in-hand manipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  50. ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion ModelingDiffusion models → Audio, speech and music
  51. Mozart: A Chiplet Ecosystem-Accelerator Codesign Framework for Composable Bespoke Application Specific Integrated CircuitsEfficient LLM inference and serving → Serving systems and request scheduling
  52. Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
  53. Safe Farming: Development of a Prevention System to Mitigate Vertebrates Crop Raiding
  54. SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks
  55. iEEG Seizure Detection with a Sparse Hyperdimensional Computing Accelerator
  56. Constructive Lyapunov Functions via Topology-Preserving Neural Networks
  57. A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem
  58. CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
  59. MAT-Agent: Adaptive Multi-Agent Training Optimization
  60. GRETEL: A Goal-driven Retrieval and Execution-based Trial Framework for LLM Tool Selection Enhancing
  61. Fire-EnSF: Wildfire Spread Data Assimilation using Ensemble Score Filter
  62. Executable Epistemology: The Structured Cognitive Loop as an Architecture of Intentional Understanding
  63. Attention to Non-Adopters
  64. Cross-dataset Multivariate Time-series Model for Parkinson's Diagnosis via Keyboard Dynamics
  65. WaveNet's Precision in EEG Classification
  66. Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval
  67. PC-UNet: An Enforcing Poisson Statistics U-Net for Positron Emission Tomography Denoising
  68. SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
  69. ConDABench: Interactive Evaluation of Language Models for Data Analysis
  70. Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
  71. Informed Routing in LLMs: Smarter Token-Level Computation for Faster Inference
  72. From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening
  73. Rebalancing with Calibrated Sub-classes (RCS): A Statistical Fusion-based Framework for Robust Imbalanced Classification across Modalities
  74. Classifier-Augmented Generation for Structured Workflow Prediction
  75. Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms
  76. Celebrity Profiling on Short Urdu Text using Twitter Followers' Feed
  77. SeeingSounds: Learning Audio-to-Visual Alignment via Text
  78. Scaling Law in LLM Simulated Personality: More Detailed and Realistic Persona Profile Is All You Need
  79. Serial-Parallel Dual-Path Architecture for Speaking Style Recognition
  80. Phase-Aware Deep Learning with Complex-Valued CNNs for Audio Signal Applications
  81. AutoGD: Automatic Learning Rate Selection for Gradient Descent
  82. Advancing Intoxication Detection: A Smartwatch-Based Approach
  83. Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
  84. Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
  85. SpectralCA: Bi-Directional Cross-Attention for Next-Generation UAV Hyperspectral Vision
  86. Learning with Incomplete Context: Linear Contextual Bandits with Pretrained Imputation
  87. Stability of Transformers under Layer Normalization
  88. An uncertainty-aware framework for data-efficient multi-view animal pose estimation
  89. If you can distinguish, you can express: Galois theory, Stone--Weierstrass, machine learning, and linguistics
  90. Learning Bug Context for PyTorch-to-JAX Translation with LLMs
  91. Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings
  92. Beyond AlphaEarth: Toward Human-Centered Geospatial Foundation Models via POI-Guided Contrastive Learning
  93. HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection
  94. Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration
  95. Understanding Robust Machine Learning for Nonparametric Regression with Heavy-Tailed Noise
  96. Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs
  97. TAWRMAC: A Novel Dynamic Graph Representation Learning Method
  98. iBERT: Interpretable Embeddings via Sense Decomposition
  99. LTGS: Long-Term Gaussian Scene Chronology From Sparse View Updates
  100. Geometry-Aware Scene Configurations for Novel View Synthesis
  101. CHUG: Crowdsourced User-Generated HDR Video Quality Dataset
  102. Fast Self-Supervised depth and mask aware Association for Multi-Object Tracking
  103. Batch Bayesian Active Learning with Partial Batch Label Sampling
  104. ROBOPSY PL[AI]: Using Role-Play to Investigate how LLMs Present Collective Memory
  105. NarraBench: A Comprehensive Framework for Narrative Benchmarking
  106. Pricing Access to Dynamic Information Services
  107. AI and Consciousness
  108. MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest
  109. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
  110. ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
  111. Cell Instance Segmentation: The Devil Is in the Boundaries
  112. CALM: A Causal Analysis Language Model for Tabular Data in Complex Systems with Local Scores, Conditional Independence Tests, and Relation Attributes
  113. Harnessing Self-Supervised Deep Learning and Geostationary Remote Sensing for Advancing Wildfire and Associated Air Quality Monitoring: Improved Smoke and Fire Front Masking using GOES and TEMPO Radiance Data
  114. Exploration of Incremental Synthetic Non-Morphed Images for Single Morphing Attack Detection
  115. Post Processing of image segmentation using Conditional Random Fields
  116. An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
  117. Decomposer Networks: Deep Component Analysis and Synthesis
  118. Task-Aware Resolution Optimization for Visual Large Language Models
  119. Cross-Sensor Touch Generation
  120. A mathematical theory for understanding when abstract representations emerge in neural networks
  121. Towards Understanding Ambiguity Resolution in Multimodal Inference of Meaning
  122. Temporal Lifting as Latent-Space Regularization for Continuous-Time Flow Models in AI Systems
  123. Distributed clustering in partially overlapping feature spaces
  124. A Unified Framework for Lifted Training and Inversion Approaches
  125. Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure
  126. Mapping Semantic & Syntactic Relationships with Geometric Rotation
  127. Combined Representation and Generation with Diffusive State Predictive Information Bottleneck
  128. Large Language Models for Imbalanced Classification: Diversity makes the difference
  129. SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
  130. Why Do Transformers Fail to Forecast Time Series In-Context?
  131. A Generic Machine Learning Framework for Radio Frequency Fingerprinting
  132. PromptGuard at BLP-2025 Task 1: A Few-Shot Classification Framework Using Majority Voting and Keyword Similarity for Bengali Hate Speech Detection
  133. Scaling Laws and Symmetry, Evidence from Neural Force Fields
  134. HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
  135. Prototype-based Self-Supervised Multimodal Learning for PPG and Accelerometry Signals
  136. Patentformer: A demonstration of AI-assisted automated patent drafting
  137. Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry
  138. Machine learning methods fail to provide cohesive atheoretical construction of personality traits from semantic embeddings
  139. Judge's Verdict: A Comprehensive Analysis of LLM Judge Capability Through Human Agreement
  140. Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery
  141. InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph-Language Models
  142. ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
  143. Evaluating LLM-Based Process Explanations under Progressive Behavioral-Input Reduction
  144. Multi Camera Connected Vision System with Multi View Analytics: A Comprehensive Survey
  145. Adaptive Fusion Network with Temporal-Ranked and Motion-Intensity Dynamic Images for Micro-expression Recognition
  146. Herb.jl: A Unifying Program Synthesis Library
  147. InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
  148. It's 2025 -- Narrative Learning is the new baseline to beat for explainable machine learning
  149. Layout-Aware Parsing Meets Efficient LLMs: A Unified, Scalable Framework for Resume Information Extraction and Evaluation
  150. ICL-Router: In-Context Learned Model Representations for LLM Routing
  151. Federated k-Means over Networks
  152. Provable Training Data Identification for Large Language Models
  153. CogniDir: Combating Cognitive Malicious Comments via Adaptive Distributional Learning for Robust Fake News Detection
  154. ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
  155. The Idola Tribus of AI: Large Language Models tend to perceive order where none exists
  156. A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN
  157. BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards
  158. LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
  159. MODE: Learning compositional representations of complex systems with Mixtures Of Dynamical Experts
  160. STaTS: Structure-Aware Temporal Sequence Summarization via Statistical Window Merging
  161. FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
  162. GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data
  163. Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with Nest
  164. Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
  165. AutoPR: Let's Automate Your Academic Promotion!
  166. WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
  167. Hierarchical Indexing with Knowledge Enrichment for Multilingual Video Corpus Retrieval
  168. Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
  169. FLOWING: Implicit Neural Flows for Structure-Preserving Morphing
  170. Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
  171. PRNet: Original Information Is All You Have
  172. Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
  173. Can We Reliably Rank Model Performance across Domains without Labeled Data?
  174. Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data
  175. Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions
  176. PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
  177. Geo-Aware Models for Stream Temperature Prediction across Different Spatial Regions and Scales
  178. A methodology for clinically driven interactive segmentation evaluation
  179. Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study
  180. Precoder Design in Multi-User FDD Systems with VQ-VAE and GNN
  181. Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
  182. Locally Optimal Private Sampling: Beyond the Global Minimax
  183. CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score
  184. Efficient Autoregressive Inference for Transformer Probabilistic Models
  185. Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
  186. Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
  187. Geodesic Calculus on Implicitly Defined Latent Manifolds
  188. Interpretable Machine Learning for Predicting Startup Funding, Patenting, and Exits
  189. SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests
  190. On Uniformly Scaling Flows: A Density-Aligned Approach to Deep One-Class Classification
  191. Dynamic Weight-based Temporal Aggregation for Low-light Video Enhancement Under Extreme Noise
  192. Mono4DEditor: Text-Driven 4D Scene Editing from Monocular Video via Point-Level Localization of Language-Embedded Gaussians
  193. Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models
  194. Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives
  195. Bandits with Single-Peaked Preferences and Limited Resources
  196. The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
  197. Weight Initialization and Variance Dynamics in Deep Neural Networks and Large Language Models
  198. On the Representations of Entities in Auto-regressive Large Language Models
  199. Large Language Model Selection with Limited Annotations
  200. What Do Temporal Graph Learning Models Learn?
  201. Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
  202. A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
  203. Cross-Receiver Generalization for RF Fingerprint Identification via Feature Disentanglement and Adversarial Training
  204. ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
  205. Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
  206. Design Principles for Sequence Models via Coefficient Dynamics
  207. CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way
  208. Utilizing dynamic sparsity on pretrained DETR
  209. Eigenvalues as a Metric for Memory Dynamics in Sequence Models
  210. The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton
  211. Sequence Variables: A Constraint Programming Computational Domain for Routing and Sequencing
  212. A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis
  213. VAD-GS: Visibility-Aware Densification for 3D Gaussian Splatting in Dynamic Urban Scenes
  214. deep-REMAP: Probabilistic Parameterization of Stellar Spectra Using Regularized Multi-Task Learning
  215. Understanding the Effects of Domain Finetuning on LLMs
  216. NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
  217. Deep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
  218. LLP: LLM-Based Product Pricing in E-commerce
  219. Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
  220. Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
  221. Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation
  222. Randomized HyperSteiner: A Stochastic Delaunay Triangulation Heuristic for the Hyperbolic Steiner Minimal Tree
  223. Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
  224. Residual-Informed Learning of Solutions to Algebraic Loops
  225. A Survey of LLM Prompt Datasets: Taxonomy, Linguistic Patterns, and Practical Uses
  226. Reliability Sensitivity with Response Gradient
  227. A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
  228. Target speaker anonymization in multi-speaker recordings
  229. Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
  230. Foraging with the Eyes: Dynamics in Human Visual Gaze and Deep Predictive Modeling
  231. ShiZhi: A Chinese Lightweight Large Language Model for Court View Generation
  232. MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics
  233. Mitigating Model Drift in Developing Economies Using Synthetic Data and Outliers
  234. One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
  235. A unifying Bayesian framework for adversarial robustness
  236. Placeit! A Framework for Learning Robot Object Placement Skills
  237. SynthID-Image: Image watermarking at internet scale
  238. Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
  239. Smart navigation of a gravity-driven glider with adjustable centre-of-mass
  240. A PCA-based Data Prediction Method
  241. CrisiText: A dataset of warning messages for LLM training in emergency communication
  242. Investigating the Impact of Rational Dilated Wavelet Transform on Motor Imagery EEG Decoding with Deep Learning Models
  243. Incentivizing Time-Aware Fairness in Data Sharing
  244. Characterizing 5G User Throughput via Uncertainty Modeling and Crowdsourced Measurements
  245. Diagnosing Shoulder Disorders Using Multimodal Large Language Models and Consumer-Grade Cameras
  246. Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation
  247. Prime Implicant Explanations for Reaction Feasibility Prediction
  248. Unsupervised lexicon learning from speech is limited by representations rather than clustering
  249. Tag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential Recommendation
  250. Comparing Knowledge Source Integration Methods for Optimizing Healthcare Knowledge Fusion in Rescue Operation
  251. IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data
  252. Provable Watermarking for Data Poisoning Attacks
  253. 3D Reconstruction from Transient Measurements with Time-Resolved Transformer
  254. Cattle-CLIP: A Multimodal Framework for Cattle Behaviour Recognition from Video
  255. Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
  256. Towards Safer and Understandable Driver Intention Prediction
  257. Augmented data and neural networks for robust epidemic forecasting: application to COVID-19 in Italy
  258. Modern Deep Learning Approaches for Cricket Shot Classification: A Comprehensive Baseline Study
  259. Stronger Re-identification Attacks through Reasoning and Aggregation
  260. Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption
  261. On the Implicit Adversariality of Catastrophic Forgetting in Deep Continual Learning
  262. RepDL: Bit-level Reproducible Deep Learning Training and Inference
  263. Distributionally robust approximation property of neural networks
  264. Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
  265. Robustness and Regularization in Hierarchical Re-Basin
  266. Beyond Flat Unknown Labels in Open-World Object Detection
  267. Instance-Level Generation for Representation Learning
  268. Dr. Bias: Social Disparities in AI-Powered Medical Guidance
  269. Efficient Resource-Constrained Training of Transformers via Subspace Optimization
  270. Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
  271. Federated Data Analytics for Cancer Immunotherapy: A Privacy-Preserving Collaborative Platform for Patient Management
  272. Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting
  273. Score-Based Density Estimation from Pairwise Comparisons
  274. Online Topological Localization for Navigation Assistance in Bronchoscopy
  275. Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
  276. Training Feature Attribution for Vision Models
  277. Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
  278. Polar Separable Transform for Efficient Orthogonal Rotation-Invariant Image Representation
  279. On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning
  280. Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
  281. A Novel Multi-branch ConvNeXt Architecture for Identifying Subtle Pathological Features in CT Scans
  282. MemLoss: Enhancing Adversarial Training with Recycling Adversarial Examples
  283. AdaPM: a Partial Momentum Algorithm for LLM Training
  284. FrameEOL: Semantic Frame Induction using Causal Language Models
  285. Neural Codecs as Biosignal Tokenizers
  286. GL-DT: Multi-UAV Detection and Tracking with Global-Local Integration
  287. AI and Human Oversight: A Risk-Based Framework for Alignment
  288. The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games
  289. Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
  290. Training Models to Detect Successive Robot Errors from Human Reactions
  291. Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
  292. MCMC: Bridging Rendering, Optimization and Generative AI
  293. Emotion-Disentangled Embedding Alignment for Noise-Robust and Cross-Corpus Speech Emotion Recognition
  294. Visual Anomaly Detection for Reliable Robotic Implantation of Flexible Microelectrode Array
  295. MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation
  296. MEC3O: Multi-Expert Consensus for Code Time Complexity Prediction
  297. Spatio-Temporal Graph Convolutional Networks for EV Charging Demand Forecasting Using Real-World Multi-Modal Data Integration
  298. LLM Based Long Code Translation using Identifier Replacement
  299. Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory
  300. MAKO: Meta-Adaptive Koopman Operators for Learning-based Model Predictive Control of Parametrically Uncertain Nonlinear Systems
  301. Repairing Regex Vulnerabilities via Localization-Guided Instructions
  302. Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
  303. Convergence of optimizers implies eigenvalues filtering at equilibrium
  304. Do LLMs Really Know What They Don't Know? Internal States Mainly Reflect Knowledge Recall Rather Than Truthfulness
  305. Exploring Cross-Lingual Knowledge Transfer via Transliteration-Based MLM Fine-Tuning for Critically Low-resource Chakma Language
  306. Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise
  307. D'er'everb'eration non-supervis'ee de la parole par mod`ele hybride
  308. The Environmental Impacts of Language Model Training Keep Rising Now is the Time to Catch Impacts on the Rebound
  309. MagicDock: Toward Docking-oriented De Novo Ligand Design via Gradient Inversion
  310. Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
  311. LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
  312. Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy
  313. TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward
  314. SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions
  315. Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
  316. PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
  317. CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
  318. FedL2T: Personalized Federated Learning with Two-Teacher Distillation for Seizure Prediction
  319. SEER: Sustainability Enhanced Engineering of Software Requirements
  320. Uncolorable Examples: Preventing Unauthorized AI Colorization via Perception-Aware Chroma-Restrictive Perturbation
  321. HandEval: Taking the First Step Towards Hand Quality Evaluation in Generated Images
  322. mmJoints: Expanding Joint Representations Beyond (x,y,z) in mmWave-Based 3D Pose Estimation
  323. Learning Regularizers: Learning Optimizers that can Regularize
  324. SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
  325. Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models
  326. HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
  327. Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
  328. A Human Behavioral Baseline for Collective Governance in Software Projects
  329. Denoised Diffusion for Object-Focused Image Augmentation
  330. FS-RWKV: Leveraging Frequency Spatial-Aware RWKV for 3T-to-7T MRI Translation
  331. Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
  332. SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
  333. Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
  334. Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling
  335. SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating Procedures
  336. Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
  337. MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
  338. Co-Authoring the Self: A Human-AI Interface for Interest Reflection in Recommenders
  339. AB-PINNs: Adaptive-Basis Physics-Informed Neural Networks for Residual-Driven Domain Decomposition
  340. SegTrans: Transferable Adversarial Examples for Segmentation Models
  341. Simple and Robust Forecasting of Spatiotemporally Correlated Small Earth Data with A Tabular Foundation Model
  342. A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
  343. Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions
  344. Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS
  345. A Frequency-Domain Analysis of the Multi-Armed Bandit Problem: A New Perspective on the Exploration-Exploitation Trade-off
  346. Gradient-Guided Furthest Point Sampling for Robust Training Set Selection
  347. A Unified Biomedical Named Entity Recognition Framework with Large Language Models
  348. Modeling Time-Lapse Trajectories to Characterize Cranberry Growth
  349. Designing and Evaluating an AI-enhanced Immersive Multidisciplinary Simulation (AIMS) for Interprofessional Education
  350. FinAuditing: A Financial Taxonomy-Structured Multi-Document Benchmark for Evaluating LLMs
  351. An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs
  352. Vector Graph-Based Repository Understanding for Issue-Driven File Retrieval
  353. Slicing Is All You Need: Towards A Universal One-Sided Algorithm for Distributed Matrix Multiplication
  354. GTAlign: Game-Theoretic Alignment of LLM Assistants for Social Welfare
  355. Quality Estimation Reranking for Document-Level Translation