Latest papers

83K AI papers from arXiv, newest first. The most recent is from October 9.

  1. October 9, 2026
  2. Can Language Models Play the Wikipedia Game?

    Oct 9, 2026Alexander Hickey, Joanna Knight, James BishopLLM EvaluationMultilingual Language Model Evaluation

  3. Splat2Act: From Captured Scenes to Personalized VLA Manipulation

    Oct 9, 2026Xiaomeng Ye, Krishna Jaganathan, Gyubeum Lim +3Sim-to-Real TransferVision-Language-Action Models

  4. Noise Space Learning for VLA Adaptation

    Oct 9, 2026Junjie Lu, Chuheng Zhang, Yucen Wang +4Vision-Language-Action ModelsVLMs for Robotics

  5. Hide and Seek: HIDE Concepts to SEEK explanations for black box models

    Oct 9, 2026Bhanu Tokas, Rahul Nair, Rockwell Jackson +1Interpretable MLConcept-Based Explanations

  6. Constructive Bounds for the Topological Expressivity of Neural Networks

    Oct 9, 2026Kosio BeshkovNeural Network ExpressivityReLU Neural Networks

  7. Chronos Policy: Learning Robot Policies on Physical Time

    Oct 9, 2026Changhao Wang, Jaden Clark, Shuran SongRobot Policy LearningRobot Learning

  8. AI Models Can Provably Hide Arbitrary Capabilities

    Oct 9, 2026Andis Draguns, Sumeet Ramesh Motwani, Raymond Douglas +1Backdoor Attacks

  9. Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning

    Oct 9, 2026Sajjad Baghaeea, Aimin Lib, Shanmugarajan Balasubramanian +1Wireless CommunicationsAge of Information

  10. DyssomniaNN: Multi-Scale Spiking Neural Modeling of Human Sleep Disorders and Perceived Restedness

    Oct 9, 2026Daniel Szelogowski

  11. Designing Protein Structures from Natural Language

    Oct 9, 2026Joseph Lee, Yanjing Li, Bo Qiang +7Protein DesignGenerative Modeling

  12. When VLMs Destroy What They Know: Spatial Representations Fall Below Lexical Priors

    Oct 9, 2026Shubh Garg, Chen ShaniFaithfulness in VLMsVLM Evaluation

  13. Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping

    Oct 9, 2026Danil Rudenko, Georgii Bulgakov, Nikolay Kartashev +3Tabular RegressionQuantile Regression

  14. Hitting-Time Bounds for Asynchronous Q-Learning

    Oct 9, 2026Yang PengReinforcement LearningQ-Learning

  15. Task Context Shapes Component Roles in Language Models

    Oct 9, 2026Sovesh Mohapatra, Dani S BassettLLM InterpretabilityCircuits in Language Models

  16. RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics

    Oct 9, 2026Weiliang Chen, Song LiaoAI Agent ReliabilityAI Agent Benchmarks

  17. X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems

    Oct 9, 2026Yeonsung Jung, Zhiyuan Wang, Zifan Wang +5Automated Red TeamingAI Agent Security

  18. Partially Informed Stochastic Optimization via Zeroth-Order Residual Tracking

    Oct 9, 2026El Mahdi Chayti, Alireza Mirrokni, Martin JaggiStochastic OptimizationNonconvex Stochastic Optimization

  19. Ask Your Advisor: Learning When to Consult Stronger Models in Agentic Systems

    Oct 9, 2026Pascal Sowietzki, Steffen Holter, Yannick Metz +3Agentic WorkflowsCost-Aware Inference

  20. BT-Agent: Deploying Onboard Robot Agents with Behavior Trees and Multi-Fidelity Evaluation

    Oct 9, 2026Fabio Hübel, Adam Lilja, Yue Yin +5Large Language Model-Based Robot PlanningMobile Robotics

  21. Finite-Sample Guarantees for Fully Discrete Conditional Diffusion Models

    Oct 9, 2026Qiuyun ZhuConditional Diffusion ModelsDiffusion Sampling

  22. HorizonNav: Geometry-Guided Video Diffusion for Anticipatory 3D Robot Navigation

    Oct 9, 2026Hajira Amjad, Valerii Serpiva, Viacheslav Liubimov +2Robot NavigationSingle-View 3D Reconstruction

  23. Inference-Time Steering Across Scaffolds and Epitopes for Sample-Efficient De Novo Nanobody Design

    Oct 9, 2026Mason Minot, Simon Friedensohn, Cédric R. WeberInference-Time Compute AllocationProtein Binder Design

  24. Returning to Development States: When Full Sandbox Snapshots Help Coding Agents

    Oct 9, 2026Daniel Thi Graviet, Tanmay ShahAI Coding AgentsInference-Time Search

  25. Studying Comics at Scale with Artificial Intelligence: The PAGE Framework and Three Studies of American Comics and Japanese Manga

    Oct 9, 2026Emilio FerraraLLM-Assisted Annotation

  26. Mapless, Stabilizing, and Anti-Stuck Flipper Control for Articulated Tracked Robots

    Oct 9, 2026Valentýn Číhala, Pavel Sarga, Martin Pecka +2Robotic ControlTerrain-Aware Robot Locomotion

  27. On the Design Space of Continuous Diffusion Language Models

    Oct 9, 2026Oscar Davis, Daan Roos, Alice Bizeul +5Continuous Diffusion Language ModelsRepresentation Geometry in Language Models

  28. SpatialASM: Internalizing Active Mentalization for Spatial Reasoning

    Oct 9, 2026Yuhong Liu, Shenxi Wu, Junyi Chi +5Visual Spatial ReasoningVisual Reasoning

  29. MC-EvoBench: Auditing Experience-Driven Self-Improvement in Minecraft Agents

    Oct 9, 2026Jingwei Song, Zhisheng Chen, Bingfan Zeng +5AI Agent BenchmarksSelf-Improving Agents

  30. OpenPA: Forced-alignment-free Multi-granular Pronunciation Assessment with Mixed-transcript Adaptation

    Oct 9, 2026Fu-An Chao, Bi-Cheng Yan, Berlin ChenSpeech ProcessingSpeech Quality Assessment

  31. Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing

    Oct 9, 2026Oktie Hassanzadeh, Dharmashankar SubramanianLLM EvaluationLLM Reliability

  32. Can Language Models Learn When to Abstain? Policy Learning and Calibrated Answer Selection

    Oct 9, 2026Juan Terven, Diana-Margarita Córdova-Esparza, Ruben Gomez +3LLM AbstentionSelective Prediction

  33. Shared Canonical Component Removal Beyond Expert Views

    Oct 9, 2026Jose Roberto Tello Ayala, Akl C. Fahed, Roy Perlis +1Algorithmic AuditingConcept Erasure

  34. TabMF: Learning Dataset Representations with Tabular Foundation Models

    Oct 9, 2026Rafiq Kamel, Nicolas Atienza, Aziz Fouché +2Representation LearningTabular Foundation Models

  35. Dream to Remember: Continual Steering of Generalist Robot Policies with World Models

    Oct 9, 2026Bahey Tharwat, Iman Nematollahi, Marvin Alles +3Continual Robot LearningRobotic RL

  36. Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning

    Oct 9, 2026Teo Deveney, Lea Bogensperger, Hok Shing WongPosterior SamplingDiffusion Posterior Sampling

  37. QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code

    Oct 9, 2026Meriem Terki, Nouhaila Innan, Minghao Shao +3Automated Test GenerationLLM Evaluation

  38. Tracing and Taming Hallucinated Terms via Subsequence-Association Filtering and Breadth-Aware Selection for LLM Query Expansion

    Oct 9, 2026Amit Kumar Jaiswal, Sagar Uprety, Prayag TiwariQuery ExpansionInformation Retrieval

  39. Diversity-Aware Ensemble of Quantum-Classical Models via Combinatorial Fusion

    Oct 9, 2026Jingyan Xu, Yuanhong Wu, Samuel Yen-Chi Chen +3Ensemble LearningHybrid Quantum-Classical ML

  40. Error Rate is Not Enough: Costs of Augmentation in Low-Resource ASR

    Oct 9, 2026Katsumi Ibaraki, David ChiangLow-Resource Speech RecognitionSynthetic Data Augmentation for Speech Recognition

  41. Constrained Probabilistic Numerics: Gaussian Process Solvers for Linear PDEs under Linear Inequality Constraints

    Oct 9, 2026Boyuan Deng, Kshitiz Upadhyay, Michael ShieldsPDE SolvingGaussian Processes

  42. Adaptive Variance Reduction without Knowing Oracle Smoothness

    Oct 9, 2026Wei Jiang, Yibo Wang, Zechao LiNonconvex Stochastic OptimizationVariance Reduction

  43. REFLECT: Role-Aware Detection of Sentiment, Emotion, Politeness, and Formality

    Oct 9, 2026Sangpil Youm, Annabel Stocks Natalias, Hayden Heninger +4Emotion Recognition in ConversationsSentiment Analysis

  44. Not Just an Evaluation: A Case Study of Discourse Particle Sensitivity in Language Models

    Oct 9, 2026William Sheffield, Jiahui Chen, Amy Zhang +3Pragmatic Reasoning in Language ModelsLanguage Modeling

  45. OccludeBench: Can VLMs Find What's Missing?

    Oct 9, 2026Jasin Cekinmez, Addison J. Wu, Ryo Mitsuhashi +3Occlusion ReasoningVLM Reasoning

  46. Randomized Momentum Transport with Cheap Predictors

    Oct 9, 2026El Mahdi Chayti, Martin JaggiMomentum MethodsStochastic Optimization Convergence

  47. When LiDAR Fades, Radar Takes Over: LiDAR Reliability-Aware Adaptive Localization Under Airborne Obscurants

    Oct 9, 2026Moumita Mukherjee, Avijit Banerjee, Anton Koval +1Robot LocalizationLiDAR Odometry

  48. Your Discrete Graph Diffusion Model is Secretly Memorizing

    Oct 9, 2026Adarsh Jamadandi, Nicolas KerivenMemorization in Generative ModelsGraph Diffusion

  49. UkrMeme: Multimodal Explainable Persuasion Detection in Ukrainian Memes

    Oct 9, 2026Nazar Andrushko, Vera Schmitt, Veronika SolopovaVLM EvaluationVLM Interpretability

  50. ReplaySSM: Cache SSM Inputs, Not State

    Oct 9, 2026Ze-Wei Liou, Harris Nover, Amey Naik +4Inference AccelerationLLM Inference Acceleration

  51. Geometry-Aware Multi-Objective Optimization: Norm-Constrained Oracles with Entropic Weight Updates

    Oct 9, 2026El Mahdi Chayti, Alireza Mirrokni, Martin JaggiMulti-Objective OptimizationMulti-Task Optimization

  52. MARGoS: A Configuration-Driven Platform for Reproducible MARL Experiments in ARGoS

    Oct 9, 2026Tom Philipp Backert, Mohammad D. Soorati, Javad GhofraniML ReproducibilityMulti-Agent Reinforcement Learning