mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 19 Aug 2025

333 papers

  1. An Approach to Checking Correctness for Agentic SystemsLLM agents and tool use → Software engineering coding agents
  2. Equinox: Holistic Fair Scheduling in Serving Large Language ModelsEfficient LLM inference and serving → Serving systems and request scheduling
  3. Mechanistic Exploration of Backdoored Large Language Model Attention PatternsLLM safety and security → Backdoor and data poisoning attacks +1
  4. Lexical Hints of Accuracy in LLM Reasoning ChainsLLM reasoning → Test-time compute and efficient thinking
  5. A Review of Developmental Interpretability in Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
  6. CIA+TA Risk Assessment for AI Reasoning VulnerabilitiesLLM reasoning → Reasoning for agents, planning and code
  7. Inference Time Debiasing Concepts in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  8. Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  9. MCPTox: A Benchmark for Tool Poisoning Attack on Real-World MCP ServersLLM agents and tool use → Agent threats, guardrails and governance
  10. A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational BackboneLLM reasoning → Reasoning benchmarks and evaluation
  11. FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate ModelsDeep reinforcement learning methods → RL for energy, networks and operations
  12. AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +3
  13. MultiFuzz: A Dense Retrieval-based Multi-Agent System for Network Protocol FuzzingLLM agents and tool use → Web, search, and research agents
  14. Multi-Rationale Explainable Object Recognition via Contrastive Conditional InferenceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  15. GRILE: A Benchmark for Grammar Reasoning and Explanation in Romanian LLMsLLM reasoning → Reasoning benchmarks and evaluation
  16. Disentangling concept semantics via multilingual averaging in Sparse AutoencodersMechanistic interpretability → SAE features and their applications
  17. Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  18. RynnEC: Bringing MLLMs into Embodied WorldMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  19. LENS: Learning to Segment Anything with Unified Reinforced ReasoningLLM reasoning → Multimodal reasoning
  20. DPad: Efficient Diffusion Language Models with Suffix DropoutDiffusion models → Discrete and text diffusion
  21. CCFC: Core & Core-Full-Core Dual-Track Defense for LLM Jailbreak ProtectionLLM safety and security → Jailbreaking
  22. Sim-to-Real Dynamic Object Manipulation on Conveyor Systems via Optimization Path ShapingOffline RL and imitation learning from data → Robot manipulation imitation learning
  23. ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use AgentsLLM agents and tool use → GUI and mobile agents +1
  24. Unintended Misalignment from Agentic Fine-Tuning: Risks and MitigationLLM agents and tool use → Agent threats, guardrails and governance
  25. Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVRLLM reasoning → Reinforcement learning for reasoning +1
  26. Learning from Preferences and Mixed Demonstrations in General SettingsDeep reinforcement learning methods → RL training of language and agent models
  27. Efficient Knowledge Graph Unlearning with Zeroth-order InformationLLM safety and security → Machine unlearning
  28. Embodied-R1: Reinforced Embodied Reasoning for General Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
  29. Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  30. RotBench: Evaluating Multimodal Large Language Models on Identifying Image RotationLLM reasoning → Multimodal reasoning +1
  31. Convergent Reinforcement Learning Algorithms for Stochastic Shortest Path ProblemDeep reinforcement learning methods → RL theory and sample complexity
  32. A Mechanism for Mutual Fairness in Cooperative Games with Replicable Resources -- Extended VersionLLM agents and tool use → Social simulation and multi-agent debate
  33. MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  34. InPars+: Supercharging Synthetic Data Generation for Information Retrieval SystemsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  35. Categorical Policies: Multimodal Policy Learning and Exploration in Continuous ControlDeep reinforcement learning methods → RL with diffusion and flow models
  36. Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective FeedbackLLM agents and tool use → Financial trading and forecasting agents
  37. One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  38. Diffusion-Driven High-Dimensional Variable SelectionDiffusion models → Diffusion foundations and sampling
  39. Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language ModelsLLM reasoning → Chain-of-thought reasoning for driving +1
  40. Toward Deployable Multi-Robot Collaboration via a Symbolically-Guided Decision TransformerOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  41. FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning AttacksLLM safety and security → Federated unlearning and poisoning
  42. Smooth Flow Matching for Synthesizing Functional DataDiffusion models → Flow matching, time series and science
  43. Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System CollaborationRetrieval-augmented generation → RAG pipeline design and evaluation
  44. Latent Interpolation Learning Using Diffusion Models for Cardiac Volume ReconstructionDiffusion models → Medical imaging and segmentation
  45. Reinforcement Learning-based Adaptive Path Selection for Programmable NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  46. BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic WebLLM agents and tool use → Agent threats, guardrails and governance
  47. DegDiT: Controllable Audio Generation with Dynamic Event Graph Guided Diffusion TransformerDiffusion models → Audio, speech and music
  48. Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast ImagesDiffusion models → Medical imaging and segmentation
  49. Agentic DraCor and the Art of Docstring Engineering: Evaluating MCP-empowered LLM Usage of the DraCor APILLM agents and tool use → Tool learning and function calling
  50. Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive ExplorationLLM reasoning → Reinforcement learning for reasoning
  51. Mitigating Cross-Image Information Leakage in Multi-Image Understanding with Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  52. Enhancing Targeted Adversarial Attacks on Large Vision-Language Models via Intermediate ProjectorMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  53. EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
  54. Self-Organizing Agent Network for LLM-based Workflow AutomationLLM agents and tool use → Software engineering coding agents
  55. CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven PlanningLLM reasoning → Reasoning for agents, planning and code +1
  56. Generics and Default Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  57. Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  58. VMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning BenchmarkLLM reasoning → Multimodal reasoning +1
  59. Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  60. MHSNet:An MoE-based Hierarchical Semantic Representation Network for Accurate Duplicate Resume Detection with Large Language ModelMixture-of-experts → MoE large language models
  61. The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM BudgetEfficient LLM inference and serving → Efficient reasoning and agent inference
  62. Input-Time Scaling: Adding Noise and Irrelevance into Less-Is-More Drastically Improves Reasoning Performance and EfficiencyLLM reasoning → Test-time compute and efficient thinking
  63. CRISP: Persistent Concept Unlearning via Sparse AutoencodersLLM safety and security → Machine unlearning +1
  64. DiffIER: Optimizing Diffusion Models with Iterative Error ReductionDiffusion models → Diffusion foundations and sampling
  65. Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client ModelsKnowledge distillation → Federated, robust and private distillation
  66. Leveraging Mamba with Full-Face Vision for Audio-Visual Speech EnhancementState-space sequence models (S4, Mamba) → Speech and audio SSMs
  67. Towards Efficient Vision State Space Models via Token MergingEfficient LLM inference and serving → Token pruning and merging for ViTs
  68. Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code GenerationLLM reasoning → Multimodal reasoning +1
  69. Temporal-Conditional Referring Video Object Segmentation with Noise-Free Text-to-Video Diffusion ModelDiffusion models → Medical imaging and segmentation
  70. Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention GuidanceLLM reasoning → Clinical and biomedical applications
  71. DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary LookupMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  72. "Can You See Me Think?" Grounding LLM Feedback in Keystrokes and Revision PatternsLLM reasoning → Reasoning benchmarks and evaluation
  73. CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in CrafterLLM agents and tool use → Reinforcement learning for LLM agents
  74. Evaluating Open-Source Vision Language Models for Facial Emotion Recognition against Traditional Deep Learning ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
  75. STER-VLM: Spatio-Temporal With Enhanced Reference Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  76. LM Agents May Fail to Act on Their Own Risk KnowledgeLLM agents and tool use → Agent threats, guardrails and governance
  77. Revisiting MLLM Token Technology through the Lens of Classical Visual CodingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  78. Beneath the Mask: Can Contribution Data Unveil Malicious Personas in Open-Source Projects?LLM safety and security → Backdoor and data poisoning attacks
  79. CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
  80. Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk InferenceLLM agents and tool use → Multimodal and embodied agents +1
  81. ALIGN: Word Association Learning for Cultural Alignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  82. AdaptJobRec: Enhancing Conversational Career Recommendation through an LLM-Powered Agentic SystemLLM agents and tool use → Agentic recommender systems
  83. MAVIS: Multi-Objective Alignment via Inference-Time Value-Guided SelectionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  84. Large Language Models as Visualization Agents for Immersive Binary Reverse EngineeringLLM agents and tool use → Multimodal and embodied agents
  85. NovoMolGen: Rethinking Molecular Language Model PretrainingLLM reasoning → Clinical and biomedical applications
  86. Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
  87. A Small Dataset May Go a Long Way: Process Duration Prediction in Clinical Settings
  88. BiND: A Neural Discriminator-Decoder for Accurate Bimanual Trajectory Prediction in Brain-Computer Interfaces
  89. KillChainGraph: ML Framework for Predicting and Mapping ATT&CK Techniques
  90. Toward a Better Localization of Princeton WordNet
  91. HiCL: Hippocampal-Inspired Continual Learning
  92. Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study
  93. LatentFlow: Cross-Frequency Experimental Flow Reconstruction from Sparse Pressure via Latent Mapping
  94. AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
  95. CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation
  96. Coarse-to-Fine Personalized LLM Impressions for Streamlined Radiology Reports
  97. Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution
  98. Statistical Comparative Analysis of Semantic Similarities and Model Transferability Across Datasets for Short Answer Grading
  99. MorphNAS: Differentiable Architecture Search for Morphologically-Aware Multilingual NER
  100. Alvorada-Bench: Can Language Models Solve Brazilian University Entrance Exams?
All 333
  1. Scalable Scientific Interest Profiling Using Large Language Models
  2. Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
  3. AGP: A Novel Arabidopsis thaliana Genomics-Phenomics Dataset and its HyperGraph Baseline Benchmarking
  4. TOM: An Open-Source Tongue Segmentation Method with Multi-Teacher Distillation and Task-Specific Data Augmentation
  5. Heatmap Regression without Soft-Argmax for Facial Landmark Detection
  6. AI Testing Should Account for Sophisticated Strategic Behaviour
  7. A U-Statistic-based random forest approach for genetic interaction study
  8. Fusing Structural Phenotypes with Functional Data for Early Prediction of Primary Angle Closure Glaucoma Progression
  9. MF-LPR2: Multi-Frame License Plate Image Restoration and Recognition using Optical Flow
  10. Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
  11. Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback
  12. A Joint Multitask Model for Morpho-Syntactic Parsing
  13. GLASS: Global-Local Aggregation for Inference-time Sparsification of LLMs
  14. Pixels to Play: A Foundation Model for 3D Gameplay
  15. Explaining Hitori Puzzles: Neurosymbolic Proof Staging for Sequential Decisions
  16. Tokens with Meaning: A Hybrid Tokenization Approach for Turkish
  17. Measuring LLM Code Generation Stability via Structural Entropy
  18. OccluNet: Spatio-Temporal Deep Learning for Occlusion Detection on DSA
  19. Meta-Learning at Scale for Large Language Models via Low-Rank Amortized Bayesian Meta-Learning
  20. GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting
  21. Tooth-Diffusion: Guided 3D CBCT Synthesis with Fine-Grained Tooth Conditioning
  22. Towards AI-Assisted Research Writing: Benchmarking LLMs for AI/ML Introduction Generation
  23. Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
  24. Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
  25. Graph Concept Bottleneck Models
  26. OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos
  27. Optimal Subspace Embeddings: Resolving Nelson-Nguyen Conjecture Up to Sub-Polylogarithmic Factors
  28. Incident Analysis for AI Agents
  29. New Insights into Automatic Treatment Planning for Cancer Radiotherapy Using Explainable Artificial Intelligence
  30. Accelerating Image Classification with Graph Convolutional Neural Networks using Voronoi Diagrams
  31. Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli
  32. A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
  33. Reliability comparison of vessel trajectory prediction models via Probability of Detection
  34. CLIPSym: Delving into Symmetry Detection with CLIP
  35. Noise Robust One-Class Intrusion Detection on Dynamic Graphs
  36. Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
  37. Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
  38. RewardRank: Optimizing True Learning-to-Rank Utility
  39. Comparing energy consumption and accuracy in text classification inference
  40. A Systematic Study of Deep Learning Models and xAI Methods for Region-of-Interest Detection in MRI Scans
  41. MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation
  42. The Urysohn Machine: A Metric-Topological Model of Computation
  43. Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs
  44. The Statistical Validation of Innovation Lens
  45. STAS: Spatio-Temporal Adaptive Computation Time for Spiking Transformers
  46. Learning to Learn the Macroscopic Fundamental Diagram using Physics-Informed and meta Machine Learning techniques
  47. Topological Data Analysis for Unsupervised Anomaly Detection and Customer Segmentation on Banking Data
  48. Towards Agent-based Test Support Systems: An Unsupervised Environment Design Approach
  49. ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
  50. Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI
  51. An Improved Multi-Agent Algorithm for Cooperative and Competitive Environments by Identifying and Encouraging Cooperation among Agents
  52. EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition
  53. Fracture Detection and Localisation in Wrist and Hand Radiographs using Detection Transformer Variants
  54. Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys
  55. LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
  56. Beyond Simple Edits: Composed Video Retrieval with Dense Modifications
  57. Distilled-3DGS:Distilled 3D Gaussian Splatting
  58. GeoSAM2: Unleashing the Power of SAM2 for 3D Part Segmentation
  59. InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing
  60. The Promise of Large Language Models in Digital Health: Evidence from Sentiment Analysis in Online Health Communities
  61. Ask Good Questions for Large Language Models
  62. UNICON: UNIfied CONtinual Learning for Medical Foundational Models
  63. BLIPs: Bayesian Learned Interatomic Potentials
  64. A Biased Random Key Genetic Algorithm for Solving the Longest Run Subsequence Problem
  65. Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
  66. Online 3D Gaussian Splatting Modeling with Novel View Selection
  67. Evaluating Identity Leakage in Speaker De-Identification Systems
  68. Typed Topological Structures Of Datasets
  69. ResPlan: A Large-Scale Vector-Graph Dataset of 17,000 Residential Floor Plans
  70. ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
  71. GDNSQ: Gradual Differentiable Noise Scale Quantization for Low-bit Neural Networks
  72. Machine Learning the H-theorem
  73. Formal Algorithms for Model Efficiency
  74. Self-Supervised Sparse Sensor Fusion for Long Range Perception
  75. Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
  76. Physics-Based 3D Simulation for Synthetic Data Generation and Failure Analysis in Packaging Stability Assessment
  77. OmViD: Omni-supervised active learning for video action detection
  78. The Social Context of Human-Robot Interactions
  79. Multi-User Contextual Cascading Bandits for Personalized Recommendation
  80. AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
  81. ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
  82. ChronoLLM: Customizing Language Models for Physics-Based Simulation Code Generation
  83. A PC Algorithm for Max-Linear Bayesian Networks
  84. Augmenting cobots for sheet-metal SMEs with 3D object recognition and localisation
  85. Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module
  86. ViT-FIQA: Assessing Face Image Quality using Vision Transformers
  87. ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features
  88. Query Logs Analytics: A Aystematic Literature Review
  89. Prompt Orchestration Markup Language
  90. Real-Time Reconstruction of 3D Bone Models via Very-Low-Dose Protocols
  91. The Collaboration Paradox: Why Generative AI Requires Both Strategic Intelligence and Operational Stability in Supply Chain Management
  92. MMIS-Net for Retinal Fluid Segmentation and Detection
  93. How Usable is Automated Feature Engineering for Tabular Data?
  94. DIME-Net: A Dual-Illumination Adaptive Enhancement Network Based on Retinex and Mixture-of-Experts
  95. PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis
  96. Learning to See Through Flare
  97. Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
  98. Multimodal Data Storage and Retrieval for Embodied AI: A Survey
  99. CARE: Anti-entanglement Ultrasound Image Segmentation via Channel-Aware Region Extrication
  100. Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training
  101. Generalisation and benign over-fitting for linear regression onto random functional covariates
  102. Forecasting Smog Events Using ConvLSTM: A Spatio-Temporal Approach for Aerosol Index Prediction in South Asia
  103. In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
  104. RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection
  105. Improved Generalized Planning with LLMs through Strategy Refinement and Reflection
  106. A Novel Attention-Augmented Wavelet YOLO System for Real-time Brain Vessel Segmentation on Transcranial Color-coded Doppler
  107. A Comprehensive Re-Evaluation of Biometric Modality Properties in the Modern Era
  108. RED.AI Id-Pattern: First Results of Stone Deterioration Patterns with Multi-Agent Systems
  109. SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation
  110. UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion
  111. Online Conformal Selection with Accept-to-Reject Changes
  112. One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression
  113. Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling
  114. Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression
  115. Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems
  116. The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
  117. Unsupervised Urban Tree Biodiversity Mapping from Street-Level Imagery Using Spatially-Aware Visual Clustering
  118. Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
  119. Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
  120. Quantifier Instantiations: To Mimic or To Revolt?
  121. Is-NeRF: In-scattering Neural Radiance Field for Blurred Images
  122. Prompt-Based One-Shot Exact Length-Controlled Generation with LLMs
  123. Beyond Human Judgment: A Bayesian Evaluation of LLMs' Moral Values Understanding
  124. Communication-Efficient Federated Learning with Adaptive Number of Participants
  125. TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
  126. Sketch3DVE: Sketch-based 3D-Aware Scene Video Editing
  127. A Fully Transformer Based Multimodal Framework for Explainable Cancer Image Segmentation Using Radiology Reports
  128. VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
  129. Shape-from-Template with Generalised Camera
  130. MR6D: Benchmarking 6D Pose Estimation for Mobile Robots
  131. PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
  132. Can Large Language Models (LLMs) Describe Pictures Like Children? A Comparative Corpus Study
  133. MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
  134. Deep Biomechanically-Guided Interpolation for Keypoint-Based Brain Shift Registration
  135. COMPASS: A Multi-Dimensional Benchmark for Evaluating Code Generation in Large Language Models
  136. Expertise-aware Multi-LLM Recruitment and Collaboration for Medical Decision-Making
  137. Order Optimal Regret Bounds for Sharpe Ratio Optimization under Thompson Sampling
  138. DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction
  139. Sycophancy under Pressure: Evaluating and Mitigating Sycophantic Bias via Adversarial Dialogues in Scientific QA
  140. On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
  141. Prediction is not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings
  142. Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment
  143. Hierarchical Vision-Language Retrieval of Educational Metaverse Content in Agriculture
  144. Optimizing Region of Interest Selection for Effective Embedding in Video Steganography Based on Genetic Algorithms
  145. Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling
  146. subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery
  147. The AI Risk Spectrum: From Dangerous Capabilities to Existential Threats
  148. The DeepLog Neurosymbolic Machine
  149. HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
  150. Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG
  151. Heavy-tailed Linear Bandits: Adversarial Robustness, Best-of-both-worlds, and Beyond
  152. Knowledge Graph Completion for Action Prediction on Situational Graphs -- A Case Study on Household Tasks
  153. Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks
  154. ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings
  155. DeH4R: A Decoupled and Hybrid Method for Road Network Graph Extraction
  156. Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
  157. Communication-Enhanced Tutoring for Efficient Decentralized Multi-Agent Reinforcement Learning
  158. In-Context Decision Making for Optimizing Complex AutoML Pipelines
  159. GRAFT: Gradient-Aware Fast MaxVol Technique for Dynamic Data Sampling
  160. Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
  161. Personalized Subgraph Federated Learning with Sheaf Collaboration
  162. Explainable Learning Rate Regimes for Stochastic Optimization
  163. V2P: Visual Attention Calibration for GUI Grounding via Background Suppression and Center Peaking
  164. Text2Weight: Bridging Natural Language and Neural Network Weight Spaces
  165. OmniTry: Virtual Try-On Anything without Masks
  166. State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability
  167. RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance
  168. TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis
  169. Two-Factor Authentication Smart Entryway Using Modified LBPH Algorithm
  170. Towards safe control parameter tuning in distributed multi-agent systems
  171. Bounding Causal Effects and Counterfactuals
  172. AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings
  173. Who Gets the Mic? Investigating Gender Bias in the Speaker Assignment of a Speech-LLM
  174. PersonaVlog: Personalized Multimodal Vlog Generation with Multi-Agent Collaboration and Iterative Self-Correction
  175. Unleashing Semantic and Geometric Priors for 3D Scene Completion
  176. Approximate Bayesian Inference via Bitstring Representations
  177. A Generalized Learning Framework for Self-Supervised Contrastive Learning
  178. Bridging Clear and Adverse Driving Conditions
  179. A Comparative Study of Decoding Strategies in Medical Text Generation
  180. End-to-end audio-visual learning for cochlear implant sound coding simulations in noisy environments
  181. Understanding Distribution Structure on Calibrated Recommendation Systems
  182. Generative Model-Based Feature Attention Module for Video Action Analysis
  183. The 9th AI City Challenge
  184. Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics
  185. Prediction of Hospital Associated Infections During Continuous Hospital Stays
  186. Physics-Informed Neural Networks for Programmable Origami Metamaterials with Controlled Deployment
  187. Color Spike Data Generation via Bio-inspired Neuron-like Encoding with an Artificial Photoreceptor Layer
  188. Collapsing ROC approach for risk prediction research on both common and rare variants
  189. CALYPSO: Forecasting and Analyzing MRSA Infection Patterns with Community and Healthcare Transmission Dynamics
  190. A Lightweight Dual-Mode Optimization for Generative Face Video Coding
  191. GazeProphet: Software-Only Gaze Prediction for VR Foveated Rendering
  192. FLAIR: Frequency- and Locality-Aware Implicit Neural Representations
  193. EAvatar: Expression-Aware Head Avatar Reconstruction with Generative Geometry Priors
  194. MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence
  195. Models in the Same Family are NOT Trust-Equivalent
  196. MuFlex: A Scalable, Physics-based Platform for Multi-Building Flexibility Analysis and Coordination
  197. Explainability of Algorithms
  198. MATA: Mindful Assessment of the Telugu Abilities of Large Language Models
  199. Saudi-Dialect-ALLaM: LoRA Fine-Tuning for Dialectal Arabic Generation
  200. DDoS Attacks in Cloud Computing: Detection and Prevention
  201. Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency
  202. Heterogeneous Influence Maximization in User Recommendation
  203. 2D Gaussians Meet Visual Tokenizer
  204. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
  205. Bridging the Gap: Doubles Badminton Analysis with Singles-Trained Models
  206. Uncertainty Tube Visualization of Particle Trajectories
  207. AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes
  208. LLM-Enhanced Linear Autoencoders for Recommendation
  209. Multi-view Clustering via Bi-level Decoupling and Consistency Learning
  210. DyMixOp: A Neural Operator Designed from a Complex Dynamics Perspective with Local-Global Mixing for Solving PDEs
  211. ROVER: Robust Loop Closure Verification with Trajectory Prior in Repetitive Environments
  212. CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving
  213. FAMNet: Integrating 2D and 3D Features for Micro-expression Recognition via Multi-task Learning and Hierarchical Attention
  214. Cross-Cancer Knowledge Transfer in WSI-based Prognosis Prediction
  215. Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations
  216. AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Results
  217. Distribution-Aware Hadamard Quantization for Hardware-Efficient Implicit Neural Representations
  218. Classifying Clinical Outcome of Epilepsy Patients with Ictal Chirp Embeddings
  219. MINR: Efficient Implicit Neural Representations for Multi-Image Encoding
  220. Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs
  221. Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification
  222. ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate
  223. EDTalk++: Full Disentanglement for Controllable Talking Head Synthesis
  224. Consumer Autonomy or Illusion? Rethinking Consumer Agency in the Age of Algorithms
  225. Discrete Optimization of Min-Max Violation and its Applications Across Computational Sciences
  226. Dynamic Design of Machine Learning Pipelines via Metalearning
  227. SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
  228. EventTSF: Event-Aware Non-Stationary Time Series Forecasting
  229. STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting
  230. AlphaX: An AI-Based Value Investing Strategy for the Brazilian Stock Market
  231. Mitigating Easy Option Bias in Multiple-Choice Question Answering
  232. Virtuous Machines: Towards Artificial General Science
  233. Decentralized Contextual Bandits with Network Adaptivity