mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 7 Oct 2025

399 papers

  1. Avi: Action from Volumetric InferenceLLM reasoning → Spatial and embodied reasoning +1
  2. FORGE-Tree: Diffusion-Forcing Tree Search for Long-Horizon Robot ManipulationLLM reasoning → Spatial and embodied reasoning +1
  3. GAZE:Governance-Aware pre-annotation for Zero-shot World Model EnvironmentsWorld models → Video-generation world models and simulators
  4. Semantic-Cohesive Knowledge Distillation for Deep Cross-modal HashingKnowledge distillation → Multimodal distillation
  5. Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward NoiseDiffusion models → Diffusion foundations and sampling
  6. GraphGhost: Tracing Structures Behind Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  7. Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation AttacksLLM agents and tool use → Web, search, and research agents
  8. LatentBreak: Jailbreaking Large Language Models through Latent Space FeedbackLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  9. YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for PathologyRetrieval-augmented generation → Medical and biomedical RAG
  10. Mitigating Surgical Data Imbalance with Dual-Prediction Video Diffusion ModelDiffusion models → Medical imaging and segmentation
  11. Local MAP Sampling for Diffusion ModelsDiffusion models → Inverse problems and image restoration
  12. Online Matching via Reinforcement Learning: An Expert Policy Orchestration StrategyDeep reinforcement learning methods → Deep RL algorithms and representations
  13. GUIDE: Guided Initialization and Distillation of EmbeddingsKnowledge distillation → General knowledge distillation methods
  14. Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining LevelsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  15. How Well Do Latent World Models Understand Partially Observable Safety Constraints?World models → Latent dynamics models and model-based RL
  16. Test-Time Scaling of Reasoning Models for Machine TranslationLLM reasoning → Reasoning benchmarks and evaluation
  17. A Survey on Agentic Security: Applications, Threats and DefensesLLM agents and tool use → Agent threats, guardrails and governance +1
  18. MathRobust-LV: Evaluation of Large Language Models' Robustness to Linguistic Variations in Mathematical ReasoningLLM reasoning → Mathematical reasoning
  19. Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?LLM reasoning → Test-time compute and efficient thinking +1
  20. Reward Model Perspectives: Whose Opinions Do Reward Models Reward?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  21. Controllable Stylistic Text Generation with Train-Time Attribute-Regularized DiffusionDiffusion models → Image generation, text-to-image and editing
  22. EVALUESTEER: Measuring Reward Model Steerability Towards Values and PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  23. Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled DataDiffusion models → Medical imaging and segmentation
  24. Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and UnderstandingDiffusion models → Image generation, text-to-image and editing
  25. SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence GenerationDiffusion models → Discrete and text diffusion +1
  26. ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation HallucinationsLLM reasoning → Hallucination detection and mitigation +1
  27. Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory GenerationDiffusion models → Diffusion and flow policies for robotics
  28. BuilderBench: The Building Blocks of Intelligent AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  29. TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular ReasoningLLM reasoning → Reinforcement learning for reasoning +1
  30. Fine-grained Defocus Blur Control for Generative Image ModelsDiffusion models → 3D, point cloud and scene generation
  31. Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search AgentsLLM reasoning → Reinforcement learning for reasoning +1
  32. Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation ModelsEnd-to-end autonomous driving → Generative simulation for driving
  33. EmbodiedCoder: Parameterized Embodied Mobile Manipulation via Modern Coding ModelVision-language-action models → Reasoning and chain-of-thought in VLA
  34. The Answer Lies Within: Self-Derived Rewards Enable Explainable Relation ExtractionLLM reasoning → Reinforcement learning for reasoning
  35. On Powerful Ways to Generate: Autoregression, Diffusion, and BeyondDiffusion models → Discrete and text diffusion
  36. RECODE-H: A Benchmark for Research Code Development with Interactive Human FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  37. Differentiable Model Predictive Control on the GPUDeep reinforcement learning methods → RL for autonomous driving and traffic
  38. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector QuantizationEfficient LLM inference and serving → KV cache quantization
  39. Thermodynamic Performance Limits for Score-Based Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  40. LLMs as Policy-Agnostic Teammates: A Case Study in Human Proxy Design for Heterogeneous Agent TeamsLLM agents and tool use → Social simulation and multi-agent debate
  41. Implicit Updates for Average-Reward Temporal Difference LearningDeep reinforcement learning methods → RL theory and sample complexity
  42. RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test SetsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  43. Deforming Videos to Masks: Flow Matching for Referring Video SegmentationDiffusion models → Medical imaging and segmentation
  44. Multi-Task Reinforcement Learning with Language-Encoded Gated Policy NetworksDeep reinforcement learning methods → RL training of language and agent models
  45. Pushing Test-Time Scaling Limits of Deep Search with Asymmetric VerificationLLM reasoning → Test-time compute and efficient thinking
  46. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace CreditEfficient LLM inference and serving → Diffusion LLM and MoE inference
  47. Discrete Diffusion Models with MLLMs for Unified Medical Multimodal GenerationDiffusion models → Medical imaging and segmentation
  48. Parallel Tokenizers: Rethinking Encoder Models' Vocabulary Design in Cross-Lingual Transfer of Low-Resource LanguagesLLM reasoning → Reasoning benchmarks and evaluation
  49. Influence Functions for Efficient Data Selection in ReasoningLLM reasoning → Mathematical reasoning
  50. The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  51. The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM ObjectivesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  52. Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RLLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  53. Constraint-Aware Route Recommendation from Natural Language via Hierarchical LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  54. Reasoning under Vision: Understanding Visual-Spatial Cognition in Vision-Language Models for CAPTCHALLM reasoning → Spatial and embodied reasoning +1
  55. Medical Vision Language Models as Policies for Robotic SurgeryMultimodal LLMs / vision-language models → Medical vision-language models
  56. Controllable Audio-Visual Viewpoint Generation from 360deg Spatial InformationDiffusion models → Audio, speech and music
  57. MixReasoning: Switching Modes to ThinkLLM reasoning → Test-time compute and efficient thinking
  58. Edit-Based Flow Matching for Temporal Point ProcessesDiffusion models → Flow matching, time series and science
  59. Agent+P: Guiding UI Agents via Symbolic PlanningLLM agents and tool use → GUI and mobile agents
  60. VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy OptimizationLLM reasoning → Multimodal reasoning +1
  61. From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
  62. Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?LLM reasoning → Reasoning for agents, planning and code +2
  63. ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  64. Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLPDeep reinforcement learning methods → Quantum reinforcement learning
  65. MASA: Rethinking the Representational Bottleneck in LoRA with Multi-A Shared AdaptationLLM reasoning → Test-time compute and efficient thinking
  66. Deterministic Legal Agents: A Canonical Primitive API for Auditable Reasoning over Temporal Knowledge GraphsLLM reasoning → Reasoning for agents, planning and code +1
  67. Information-Theoretic Policy Pre-Training with EmpowermentDeep reinforcement learning methods → Deep RL algorithms and representations
  68. Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking
  69. ECTSpeech: Enhancing Efficient Speech Synthesis via Easy Consistency TuningDiffusion models → Audio, speech and music
  70. Diffusion-Based Image Editing for Breaking Robust WatermarksDiffusion models → Robustness, privacy and adversarial aspects +1
  71. Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance AnalysisDiffusion models → Inverse problems and image restoration
  72. LexiCon: a Benchmark for Planning under Temporal Constraints in Natural LanguageLLM reasoning → Reasoning for agents, planning and code
  73. Learning to Crawl: Latent Model-Based Reinforcement Learning for Soft Robotic Adaptive LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
  74. Training-Free Time Series Classification via In-Context Reasoning with LLM AgentsLLM reasoning → Time series reasoning +1
  75. EARL: Efficient Agentic Reinforcement Learning Systems for Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
  76. EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  77. LLM-FS-Agent: A Deliberative Role-based Large Language Model Architecture for Transparent Feature SelectionLLM agents and tool use → Agent threats, guardrails and governance
  78. Carr'e du champ flow matching: better quality-generalisation tradeoff in generative modelsDiffusion models → Flow matching, time series and science
  79. Towards Label-Free Biological Reasoning Synthetic Dataset Creation via Uncertainty FilteringLLM reasoning → Clinical and biomedical applications
  80. The Safety Challenge of World Models for Embodied AI Agents: A ReviewWorld models → World models for navigation
  81. VCoT-Grasp: Grasp Foundation Models with Visual Chain-of-Thought Reasoning for Language-driven Grasp GenerationLLM reasoning → Spatial and embodied reasoning
  82. Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time ScalingLLM reasoning → Test-time compute and efficient thinking
  83. Rasterized Steered Mixture of Experts for Efficient 2D Image RegressionMixture-of-experts → Vision mixture-of-experts
  84. Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision MakingDeep reinforcement learning methods → RL theory and sample complexity
  85. Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-SpeechLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  86. Mixture of Neuron ExpertsMixture-of-experts → MoE theory and gating functions
  87. Empirical Comparison of Membership Inference Attacks in Deep Transfer LearningLLM safety and security → Membership inference attacks
  88. Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based ApproachesLLM agents and tool use → General LLM agent frameworks and benchmarks
  89. ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
  90. Artificially intelligent agents in the social and behavioral sciences: A history and outlookLLM agents and tool use → General LLM agent frameworks and benchmarks
  91. Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference PoliciesDiffusion models → Discrete and text diffusion
  92. DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across ModalitiesDiffusion models → Diffusion foundations and sampling
  93. AgeBooth: Controllable Facial Aging and Rejuvenation via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  94. Provably Convergent Primal-Dual DPO for Constrained LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  95. Membership Inference Attacks on Tokenizers of Large Language ModelsLLM safety and security → Membership inference attacks
  96. Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor PoliciesDeep reinforcement learning methods → RL for robot locomotion and manipulation
  97. DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process SupervisionRetrieval-augmented generation → Agentic RAG, agents and memory +1
  98. Verifier-free Test-Time Sampling for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
  99. Teleportraits: Training-Free People Insertion into Any SceneDiffusion models → 3D, point cloud and scene generation
  100. Systematic Exploration of Multi-core Architectures for Efficient LLM Serving using WaferAI-SIMEfficient LLM inference and serving → Serving systems and request scheduling
All 399
  1. MADIAVE: Multi-Agent Debate for Implicit Attribute Value ExtractionLLM agents and tool use → Social simulation and multi-agent debate
  2. Efficient Conditional Generation on Scale-based Visual Autoregressive ModelsDiffusion models → Image generation, text-to-image and editing
  3. HOI-R1: Exploring the Potential of Multimodal Large Language Models for Human-Object Interaction DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  4. A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
  5. AutoPentester: An LLM Agent-based Framework for Automated PentestingLLM agents and tool use → Agent threats, guardrails and governance
  6. AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based AgentsLLM agents and tool use → Agentic recommender systems
  7. From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research DirectionsLLM agents and tool use → Agentic AI for wireless networks
  8. Improving Chain-of-Thought Efficiency for Autoregressive Image GenerationLLM reasoning → Multimodal reasoning +1
  9. In-the-Flow Agentic System Optimization for Effective Planning and Tool UseLLM reasoning → Reinforcement learning for reasoning +1
  10. CalibCLIP: Contextual Calibration of Dominant Semantics for Text-Driven Image RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  11. (Token-Level) InfoRMIA: Stronger Membership Inference and Memorization Assessment for LLMsLLM safety and security → Membership inference attacks
  12. MetaVLA: Unified Meta Co-training For Efficient Embodied AdaptionVision-language-action models → Reasoning and chain-of-thought in VLA
  13. Mission Impossible: Feedback-Guided Dynamic Interactive Planning for Improving Reasoning on LLMsLLM reasoning → Reasoning for agents, planning and code
  14. ARRC: Advanced Reasoning Robot Control - Knowledge-Driven Autonomous Manipulation Using Retrieval-Augmented GenerationLLM reasoning → Spatial and embodied reasoning +1
  15. Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLMMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  16. Seeing the Big Picture: Evaluating Multimodal LLMs' Ability to Interpret and Grade Handwritten Student WorkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  17. Revisiting Self-Play Preference Optimization: On the Role of Prompt DifficultyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  18. Teamwork: Collaborative Diffusion with Low-rank Coordination and AdaptationDiffusion models → Image generation, text-to-image and editing
  19. H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model InferenceEfficient LLM inference and serving → KV cache optimization
  20. Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  21. KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation MaintenanceLLM reasoning → Knowledge- and tool-augmented reasoning
  22. CAM: A Constructivist View of Agentic Memory for LLM-Based Reading ComprehensionLLM agents and tool use → Agent memory systems
  23. Be Tangential to Manifold: Discovering Riemannian Metric for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  24. Prototype-Based Dynamic Steering for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  25. Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM InferenceMixture-of-experts → Efficient MoE training and inference systems
  26. LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and ExplanationKnowledge distillation → Knowledge distillation for LLMs
  27. Evaluating LLM Safety Across Child Development Stages: A Simulated Agent ApproachLLM agents and tool use → Agent threats, guardrails and governance +2
  28. Vul-R2: A Reasoning LLM for Automated Vulnerability RepairLLM reasoning → Reasoning for agents, planning and code
  29. Domain-Grounded Evaluation of LLMs in International Student Knowledge
  30. When LLMs Can't Help: Real-World Evaluation of LLMs in Nutrition
  31. Embedding Generative AI into Systems Analysis and Design Curriculum: Framework, Case Study, and Cross-Campus Empirical Evidence
  32. XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G
  33. The Anatomy of a Triton Attention Kernel
  34. Digital Transformation Chatbot (DTchatbot): Integrating Large Language Model-based Chatbot in Acquiring Digital Transformation Needs
  35. Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
  36. SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
  37. The Role of Federated Learning in Improving Financial Security: A Survey
  38. Applying Graph Analysis for Unsupervised Fast Malware Fingerprinting
  39. Adversarial-Resilient RF Fingerprinting: A CNN-GAN Framework for Rogue Transmitter Detection
  40. Assessment of different loss functions for fitting equivalent circuit models to electrochemical impedance spectroscopy data
  41. Heterogeneous Point Set Transformers for Segmentation of Multiple View Particle Detectors
  42. Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
  43. Generative Models for Helmholtz Equation Solutions: A Dataset of Acoustic Materials
  44. Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
  45. TreeNet: Layered Decision Ensembles
  46. Impact of LLMs on Team Collaboration in Software Development
  47. Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
  48. Which Is Better For Reducing Outdated and Vulnerable Dependencies: Pinning or Floating?
  49. MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation
  50. Centering Emotion Hotspots: Multimodal Local-Global Fusion and Cross-Modal Alignment for Emotion Recognition in Conversations
  51. Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
  52. Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs
  53. Enhancing Maritime Object Detection in Real-Time with RT-DETR and Data Augmentation
  54. Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding
  55. SpotDiff: Spotting and Disentangling Interference in Feature Space for Subject-Preserving Image Generation
  56. Decoding the dark proteome: Deep learning-enabled discovery of druggable enzymes in Wuchereria bancrofti
  57. Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security
  58. Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots
  59. Visualizing Multimodality in Combinatorial Search Landscapes
  60. Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusion
  61. LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
  62. From Captions to Keyframes: KeyScore for Multimodal Frame Scoring and Video-Language Understanding
  63. Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics
  64. Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
  65. ATLO-ML: Adaptive Time-Length Optimizer for Machine Learning -- Insights from Air Quality Forecasting
  66. Superpixel Integrated Grids for Fast Image Segmentation
  67. Active Next-Best-View Optimization for Risk-Averse Path Planning
  68. Anytime-Valid Answer Sufficiency Certificates for LLM Generation via Sequential Information Lift
  69. Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
  70. PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
  71. Deep Generative Model for Human Mobility Behavior
  72. SIGMA-GEN: Structure and Identity Guided Multi-subject Assembly for Image Generation
  73. Linguistically Informed Tokenization Improves ASR for Underresourced Languages
  74. TDiff: Thermal Plug-And-Play Prior with Patch-Based Diffusion
  75. Evaluating Node-tree Interfaces for AI Explainability
  76. How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
  77. Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks
  78. Machine Learning Detection of Road Surface Conditions: A Generalizable Model using Traffic Cameras and Weather Data
  79. Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
  80. Nearly Instance-Optimal Parameter Recovery from Many Trajectories via Hellinger Localization
  81. Flavonoid Fusion: Creating a Knowledge Graph to Unveil the Interplay Between Food and Health
  82. Bridging Discourse Treebanks with a Unified Rhetorical Structure Parser
  83. FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering
  84. Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
  85. Instructional Goal-Aligned Question Generation for Student Evaluation in Virtual Lab Settings: How Closely Do LLMs Actually Align?
  86. The Effect of Label Noise on the Information Content of Neural Representations
  87. Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
  88. Adaptive Protein Design Protocols and Middleware
  89. Truthful Calibration Errors for Multi-Class Prediction
  90. Protecting De-identified Documents from Search-based Linkage Attacks
  91. Monte Carlo Permutation Search
  92. Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
  93. Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
  94. A General Constructive Upper Bound on Shallow Neural Nets Complexity
  95. OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA
  96. Lagrangian neural ODEs: Measuring the existence of a Lagrangian with Helmholtz metrics
  97. Diffusion-Guided Renormalization of Neural Systems via Tensor Networks
  98. Constrained Natural Language Action Planning for Resilient Embodied Systems
  99. PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
  100. LLM Bias Detection and Mitigation through the Lens of Desired Distributions
  101. TransFIRA: Transfer Learning for Face Image Recognizability Assessment
  102. Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
  103. Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
  104. Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-Physical Systems
  105. Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
  106. Type and Complexity Signals in Multilingual Question Representations
  107. Requirements for Game-Based Learning Design Framework for Information System Integration in the Context of Post-Merger Integration
  108. Scalable deep fusion of spaceborne lidar and synthetic aperture radar for global forest structural complexity mapping
  109. RGBD Gaze Tracking Using Transformer for Feature Fusion
  110. VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code
  111. Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling
  112. BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression
  113. Soft-Evidence Fused Graph Neural Network for Cancer Driver Gene Identification across Multi-View Biological Graphs
  114. Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields
  115. Human3R: Everyone Everywhere All at Once
  116. EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
  117. Dropping the D: RGB-D SLAM Without the Depth Sensor
  118. Training Dynamics Impact Post-Training Quantization Robustness
  119. ShapeGen4D: Towards High Quality 4D Shape Generation from Videos
  120. Modulation Discovery with Differentiable Digital Signal Processing
  121. Reference Grounded Skill Discovery
  122. TokenChain: A Discrete Speech Chain via Semantic Token Modeling
  123. StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
  124. Latent Speech-Text Transformer
  125. Overlap-aware segmentation for topological reconstruction of obscured objects
  126. Barbarians at the Gate: How AI is Upending Systems Research
  127. BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects
  128. Automated Program Repair of Uncompilable Student Code
  129. Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
  130. Conformalized Gaussian processes for online uncertainty quantification over graphs
  131. Climate Model Tuning with Online Synchronization-Based Parameter Estimation
  132. Smartphone-based iris recognition through high-quality visible-spectrum iris image capture.V2
  133. Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
  134. TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
  135. Non-iid hypothesis testing: from classical to quantum
  136. Bimanual 3D Hand Motion and Articulation Forecasting in Everyday Images
  137. High-Probability Convergence Guarantees of Decentralized SGD
  138. lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
  139. Downsized and Compromised?: Assessing the Faithfulness of Model Compression
  140. Taxonomy of User Needs and Actions
  141. Towards Data-Efficient Medical Imaging: A Generative and Semi-Supervised Framework
  142. PolyGraph Discrepancy: a classifier-based metric for graph generation
  143. Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
  144. Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
  145. The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning
  146. Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
  147. Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution
  148. Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
  149. Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method
  150. A public cardiac CT dataset featuring the left atrial appendage
  151. Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
  152. When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
  153. EmoHRNet: High-Resolution Neural Network Based Speech Emotion Recognition
  154. Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks
  155. There is More to Attention: Statistical Filtering Enhances Explanations in Vision Transformers
  156. MachaGrasp: Morphology-Aware Cross-Embodiment Dexterous Hand Articulation Generation for Grasping
  157. Analyzing the Effect of Embedding Norms and Singular Values to Oversmoothing in Graph Neural Networks
  158. TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
  159. When Importance Sampling Misallocates Credit: Asymmetric Ratios for Outcome-Supervised RL
  160. Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research
  161. BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
  162. GLVD: Guided Learned Vertex Descent
  163. A Large-Scale Chinese Knowledge Graph-Text Alignment Dataset for Benchmarking Knowledge-Grounded LLMs
  164. Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between
  165. Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
  166. Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction
  167. Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
  168. Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement Context
  169. Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
  170. RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
  171. Evaluating The Impact of Stimulus Quality in Investigations of LLM Language Performance
  172. Continual Learning for Image Captioning through Improved Image-Text Alignment
  173. Detection and Measurement of Hailstones with Multimodal Large Language Models
  174. Uncertainty in Machine Learning
  175. Exploring Gaps in the APS: Direct Minimal Pair Analysis in LLM Syntactic Assessments
  176. A Dynamic Mode Decomposition Approach to Morphological Component Analysis
  177. Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging
  178. Probing the Difficulty Perception Mechanism of Large Language Models
  179. MatheMagic: Generating Dynamic Mathematics Benchmarks Robust to Memorization
  180. Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
  181. N-Parties Private Structure and Parameter Learning for Sum-Product Networks
  182. Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens
  183. A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography
  184. Prompt reinforcing for long-term planning of large language models
  185. An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
  186. Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
  187. Kaputt: A Large-Scale Dataset for Visual Defect Detection
  188. Untangling Component Imbalance in Hybrid Linear Attention Conversion Methods
  189. Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
  190. bfD3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
  191. BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
  192. acia-workflows: Automated Single-cell Imaging Analysis for Scalable and Deep Learning-based Live-cell Imaging Analysis Workflows
  193. Segment-Factorized Full-Song Generation on Symbolic Piano Music
  194. OBSR: Open Benchmark for Spatial Representations
  195. MaNGO - Adaptable Graph Network Simulators via Meta-Learning
  196. The fragility of "cultural tendencies" in LLMs
  197. On the Sensitivity of Instruction-tuned LLMs to Harmful Sentences in Long Inputs
  198. Revisiting Long-context Modeling from Context Denoising Perspective
  199. Overcoming Language Barriers: Multilingual Analysis of the 2023 Swiss Privacy Law's Impact
  200. DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
  201. How to model Human Actions distribution with Event Sequence Data
  202. ESS-Flow: Training-free guidance of flow-based models as inference in source space
  203. Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
  204. Multimodal Trajectory Representation Learning for Travel Time Estimation
  205. Towards Robust and Realible Multimodal Misinformation Recognition with Incomplete Modality
  206. EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
  207. Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow
  208. FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
  209. StereoSync: Spatially-Aware Stereo Audio Generation from Video
  210. Leveraging Vision Transformers for Enhanced Classification of Emotions using ECG Signals
  211. Deformable Image Registration for Self-supervised Cardiac Phase Detection in Multi-View Multi-Disease Cardiac Magnetic Resonance Images
  212. Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates
  213. Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding
  214. M"obius transforms and Shapley values for vector-valued functions on weighted directed acyclic multigraphs
  215. Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
  216. DP-SNP-TIHMM: Differentially Private, Time-Inhomogeneous Hidden Markov Models for Synthesizing Genome-Wide Association Datasets
  217. ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
  218. InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
  219. Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
  220. RareAgent: Self-Evolving Reasoning for Drug Repurposing in Rare Diseases
  221. Early Multimodal Prediction of Cross-Lingual Meme Virality on Reddit: A Time-Window Analysis
  222. A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
  223. OneVision: An End-to-End Generative Framework for Multi-view E-commerce Vision Search
  224. Transcribing Rhythmic Patterns of the Guitar Track in Polyphonic Music
  225. ALISE: Annotation-Free LiDAR Instance Segmentation for Autonomous Driving
  226. Uncertainty assessment in satellite-based greenhouse gas emissions estimates using emulated atmospheric transport
  227. Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective
  228. Adaptive and Multi-Source Entity Matching for Name Standardization of Astronomical Observation Facilities
  229. Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect
  230. Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
  231. Data Factory with Minimal Human Effort Using VLMs
  232. Neighborhood-Adaptive Generalized Linear Graph Embedding with Latent Pattern Mining
  233. Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
  234. FinReflectKG -- EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation
  235. Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering
  236. Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs
  237. Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models
  238. AIC-VDS: Attention-Based In-Context Learning for Joint Velocity Control and Data Collection Scheduling in Multi-UAV-Assisted Pipeline Monitoring
  239. Sparse deepfake detection promotes better disentanglement
  240. vAttention: Verified Sparse Attention
  241. D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
  242. QGraphLIME - Explaining Quantum Graph Neural Networks
  243. Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs
  244. Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
  245. Context Matters: Learning Global Semantics via Object-Centric Representation
  246. Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
  247. Development and Validation of a Low-Cost Imaging System for Seedling Germination Kinetics through Time-Cumulative Analysis
  248. Large Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
  249. DeLTa: Demonstration and Language-Guided Novel Transparent Object Manipulation
  250. When and How to Cut Classical Concerts? A Multimodal Automated Video Editing Approach
  251. A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
  252. SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasets
  253. EduVerse: A User-Defined Multi-Agent Simulation Space for Education Scenario
  254. Ocular-Induced Abnormal Head Posture: Diagnosis and Missing Data Imputation
  255. The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP
  256. Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning
  257. From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
  258. NEO: No-Optimization Test-Time Adaptation through Latent Re-Centering
  259. Beyond Spectral Peaks: Interpreting the Cues Behind Synthetic Image Detection
  260. Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
  261. Monte Carlo-Type Neural Operator for Differential Equations
  262. InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
  263. TFM Dataset: A Novel Multi-task Dataset and Integrated Pipeline for Automated Tear Film Break-Up Segmentation
  264. PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
  265. Fractal basin geometry and the limits to predictability and reproducibility in deep learning
  266. Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising
  267. When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
  268. Power Mechanism: Private Tabular Representation Release for Model Agnostic Consumption
  269. On the Theory of Continual Learning with Gradient Descent for Neural Networks
  270. Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations
  271. Efficient Learning-based Graph Simulation for Temporal Graphs
  272. Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
  273. Domain-Shift-Aware Conformal Prediction for Large Language Models
  274. Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
  275. HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
  276. Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
  277. nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles
  278. Critical attention scaling in long-context transformers
  279. Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
  280. Decade-long Emission Forecasting with an Ensemble Model in Taiwan
  281. Sci-Phi: A Large Language Model Spatial Audio Descriptor
  282. Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
  283. Efficient learning of bosonic Gaussian unitaries
  284. LATTA: Langevin-Anchored Test-Time Adaptation for Enhanced Robustness and Stability
  285. ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
  286. Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
  287. NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information
  288. EEG-Based Acute Pain Classification: Machine Learning Model Comparison and Real-Time Clinical Feasibility
  289. Human Action Recognition from Point Clouds over Time
  290. Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective
  291. High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training
  292. NorMuon: Making Muon more efficient and scalable
  293. The Method of Infinite Descent
  294. ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars
  295. Optimal automation under overdispersed discrete risk: thresholds and hysteresis in a Negative Binomial model
  296. Language Model as Planner and Formalizer under Constraints
  297. TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation
  298. ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics
  299. AMAQ: Adaptive Mixed-bit Activation Quantization for Collaborative Parameter Efficient Fine-tuning