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18 papers in the last four weeks, up 260% on the four weeks before. 0.2% of all new papers.

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  1. Inherited Learning in an Artificial Ecology: How Controls and Update Allocation Shape Benefits

    Oct 1, 2026Xuening Wu, Lei Li, Shan YuPreference LearningLearn

    Pfizer, Shanghai, China · Independent Researcher

  2. I Have a Stream: Making Self-Supervised Learning Work on Continuous Video

    Sep 30, 2026Ivan Martinović, Lukas Knobel, Yuki M. AsanoSelf-Supervised LearningVideo Dataset

    Faculty of Electrical Engineering and Computing, University of Zagreb · Fundamental AI Lab, University of Technology Nuremberg

  3. Learning Skills from Historical Action Trajectories: Action Experience Dictionary for World Action Models

    Sep 30, 2026Qi Lyu, Jiahua Dong, Hao Shen +9Cross-Embodiment TransferVision-Language-Action Framework

    Shenyang Institute of Automation, Chinese Academy of Sciences · Mohamed bin Zayed University of Artificial Intelligence · Anhui University +3

  4. Certification-Based Differentially Private Learning

    Sep 30, 2026Mihnea Ghitu, Matthew WickerLearn

    Department of Computing Imperial College London London, United Kingdom

  5. Not All Rollouts Are Worth Learning: On Trajectory Valuation for Post-Training Reinforcement Learning

    Sep 28, 2026Xuesong Jia, Ziao Yang, Zhanhe Huang +1Reinforcement Learning Post-TrainingTrajectory Generation

    Department of Computer Science, Brandeis University

  6. Two-Timescale Fine-tuning Provably Learns New Features for Two-Layer ReLU Networks

    Sep 28, 2026Etienne Boursier, Nicolas FlammarionFeature LearningModel Fine-Tuning

    INRIA, LMO, Universit´e Paris-Saclay, Orsay, France · EPFL, Lausanne, Switzerland

  7. APOLO: Automatic Prompt Optimization for Ontology Learning

    Sep 28, 2026Huu Tan Mai, Roman Kochnev, Cuong Xuan Chu +3Automatic Prompt OptimizationOntology

    Bosch Center for Artificial Intelligence, Robert-Bosch-Campus 1, 71272 Renningen, Germany · University of Mannheim, Schloss, 68131 Mannheim, Germany · University of Würzburg, Sanderring 2, 97070 Würzburg, Germany +1

  8. Learning Strategies to Break Judges

    Sep 27, 2026Guruprerana Shabadi, Aaditya Naik, Rajeev Alur +1JudgesAgentic Evaluations

    University of Pennsylvania · Oracle

  9. From Content Generation to Learning Support: Pedagogy-Guided Generative Video Tutors for STEM Learning

    Sep 21, 2026Xinchen Ma, Shuimu Wang, Gaole He +4Pedagogical FrameworksLong Video Generation

    Department of Data Science and Engineering, East China Normal University · School of Computing, National University of Singapore

  10. BiRoAD: Learning Shared and Role-Adaptive Representations for Bimanual Manipulation

    Sep 20, 2026Yan Shen, Yuchen Liu, Feng Jiang +5Bimanual ManipulationAction Space

    CFCS, School of Computer Science, Peking University

  11. Learn Before You Judge: Progressive Knowledge-to-Decision Alignment for Explainable Hateful Meme Detection

    Sep 17, 2026Bo Xu, Chenyuan Wang, Xinyu Chen +5Hate Speech DetectionHate Speech

    School of Software, Dalian University of Technology · School of Computer Science and Technology, Dalian University of Technology · School of Computing Technologies, RMIT University

  12. Learn Your Own Thoughts: Abstract Token Curriculum

    Sep 17, 2026Khashayar Gatmiry, Avrajit Ghosh, Parsa Mirtaheri +4ThoughtsToken-Level Supervision

    UC San Diego · Google DeepMind and UC Berkeley

  13. Learning Options for Compositional Motor Control with Adapter Banks

    Sep 15, 2026Sreejan Kumar, Marcelo Mattar, Lea DunckerSensorimotor ExperienceLearn

    Columbia University · New York University

  14. Learnware and AI Model Management System

    Sep 10, 2026Zhi-Hua ZhouArtificial Intelligence ModelsLearn

    Nanjing University, Nanjing 210023, China

  15. With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education

    Sep 9, 2026Nikol Rummel, Valentina Nachtigall, Ernesto PanaderoGenerative Artificial IntelligenceLearn

    Institute of Educational Research, Ruhr-Universität Bochum, Germany · Center for Advanced Internet Studies, Bochum, Germany · Centre for Assessment Research, Policy and Practice in Education, Dublin City University, Ireland +1

  16. ExecCritic: Learn to Test, Test to Improve for Coding Agents

    Sep 8, 2026Leitian Tao, Baolin Peng, Haorui Wang +7Coding AgentsTest Generation

    University of Wisconsin–Madison · Microsoft Research · Georgia Tech

  17. Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks

    Sep 8, 2026Mariia Drozdova, Stéphane Liem Nguyen, François FleuretDenoising Diffusion Probabilistic ModelDiffusion Models

    University of Geneva

  18. Closing the Consistency Gap: Self-Evolving Agents That Learn to Stay on Course

    Sep 8, 2026Evelyn Duesterwald, Benjamin Elder, Lilian Ngweta +2Self-Evolving AgentsLearn

    IBM Software Innovation Lab · IBM Research

  19. LeanGRPO: Eliminating Redundant Recomputation in Diffusion RL

    Sep 3, 2026Sijie Wang, Zhiqiang Tan, Xinrui Yang +1Diffusion-Based Reinforcement Learning MethodsReward Gradients

    School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen

  20. LLMs Learn Better In-Context from Rules than from Examples

    Sep 2, 2026Xiang Fu, Seungmin Cho, Yukyung Lee +1In-Context LearningIn-Context

    Boston University

  21. When Does Bigger Help? A Controlled Study of LLM Scale for Ontology Learning

    Aug 31, 2026Hamed Babaei Giglou, Sören Auer, Jennifer D'SouzaModel SizeLearn

    TIB Leibniz Information Centre for Science and Technology, Hannover, Germany · L3S Research Center, Leibniz University of Hannover, Hannover, Germany

  22. Program Learning with Verifiable Rewards: Symbolic Backpropagation for Post-Training LLMs

    Aug 28, 2026Vishvesh BhatReinforcement Learning With Verifiable RewardVerifiable Rewards

    CoreThink AI

  23. Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN

    Aug 23, 2026Eliuvish Han Cui, Qiang Yang, Meredith Mengmeng ZhangPositron Emission TomographyValidation

    Clinical Functional Service Provider (cFSP) Department, Kuntuo, an IQVIA company · Department of Biostatistics, University of California, Los Angeles · Department of Biometrics, Hengrui Pharmaceuticals

  24. Matching Supervision to the Student's Learning Capacity: A Unified Framework for On-Policy Self-Distillation

    Aug 8, 2026Yongkang Yang, Zhezheng Hao, Hong Zhang +8Unsupervised On-Policy Self-DistillationTeacher

    Tencent, Workbuddy Team · Zhejiang University · Independent Researcher

  25. Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

    Aug 2, 2026Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2Lipschitz ContinuityConvergence

    Faculty of Mechanical Engineering, Semnan University, Semnan, Iran · Department of Electrical Engineering and Computer Science, Oregon State University, Oregon, USA · Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia +1

  26. CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition

    Jul 28, 2026Lai Wei, Chengqi Li, Jiapeng Li +3In-Context LearningLearn

    School of Computer Science, Shanghai Jiao Tong University · 2Zhongguancun Academy · 3Shanghai Innovation Institute

  27. Mobius Learning: Cyclic Depth Folding in Transformers

    Jul 20, 2026Tongtian ZhuTransformer ArchitecturesLearn

    Zhejiang University

  28. Pick-to-Learn Calibration of an MPC Policy for an Origin-to-Destination Flight Problem

    Jul 17, 2026Marco C. Campi, Simone GarattiModel Predictive ControlAerial Navigation

    Department of Information Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy · Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, piazza L. da Vinci 32, 20133 Milano, Italy

  29. Agentic Context Learning with Self-Discovered Specification

    Jul 9, 2026Jike Zhong, Ming Li, Yuxiang Lai +8In-Context LearningMultiple Prompt Learning Frameworks

    University of Southern California · University of Florida · 3Emory University +3

  30. Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning

    Jul 8, 2026Dmitry Beresnev, Vladimir Makharev, Roman Khalikov +2SolversLearn

    Innopolis University, Innopolis, Russia · AXXX, Moscow, Russia · Lomonosov Moscow State University, Moscow, Russia

  31. Towards Personalized Differentially Private Learning for Decentralized Local Graphs

    Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Decentralized LearningFederated Graph Learning

    School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China · State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · School of Cyber Science and Technology, Shandong University, Qingdao, China +2

  32. OntoLearner: A Modular Python Library for Ontology Learning with Large Language Models

    Jul 2, 2026Hamed Babaei Giglou, Jennifer D'Souza, Andrei Aioanei +2OntologyLearn

    TIB – Leibniz Information Centre for Science and Technology, Hannover, Germany · 3IBM Research, New York, USA · 1TIB – Leibniz Information Centre for Science and Technology, Hannover, Germany +1

  33. Rethinking the Role of Feature Engineering and Learning Strategies in Few-Shot Hidden Emotion Recognition

    Jun 30, 2026Xiaochuan Guo, Jihao Gu, Haixu Liu +6Emotion RecognitionFew-Shot Learning

    Hefei University of Technology, China · University College London, United Kingdom · The University of Sydney, Australia +5

  34. Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork

    Jun 25, 2026Naoki Nishikawa, Shokichi Takakura, Satoshi HasegawaNeural Network TrainingStochastic Gradient Descent

    The University of Tokyo · LY Corporation

  35. Cellular Predictions on the Move: What about Data?

    Jun 24, 2026Natalia Vesselinova, Pauliina IlmonenAccurate Short-Term Electricity Load ForecastingAccurate Traffic Forecasting

  36. Towards Spec Learning: Inference-Time Alignment from Preference Pairs

    Jun 22, 2026Dhriti Krishnan, Tejas Goyal, Jaromir SavelkaPreference LearningPreference Alignment Learning

    Department of Computer Science Carnegie Mellon University

  37. Rethinking Air-Ground Collaboration: A Progressive Cross-Task Benchmark and Socialized Learning Framework

    Jun 17, 2026Zhoupeng Guo, Yunqi Zhu, Zhihe Fan +6Collaborative PerceptionCooperative Air Combat

    School of Automation, Southeast University, Nanjing 210096, China · School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia · School of Sports Training, Tianjin University of Sport, Tianjin 301617, China +3

  38. Private Learning with Public Feature Conditioning

    Jun 17, 2026Shuli Jiang, Walid Krichene, Nicolas MayorazPrivacyNonconvex

    1AWS Agentic AI · 2Microsoft · 3Google Research

  39. Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures

    Jun 16, 2026Bowen Li, Mayank Mishra, Y. Isabel Liu +7Scalable Robot LearningRobot Planning

    CMU · Centaur AI · Princeton +3

  40. Learn to Quantify Social Interaction with Constraints for Pedestrian Walking

    Jun 16, 2026Xiaodan ShiPedestrian Trajectory PredictionInteraction Prediction

    Department of Computer and Systems Sciences, Stockholm University

  41. Deep Residual Injection for Full-Spectrum Forensic Signal Perception in Multimodal Large Language Models

    Jun 14, 2026Kaiqing Lin, Zhiyuan Yan, Ruoxin Chen +8Digital ForensicsMultimodal Large Language Models

    Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, and SZU-AFS Joint Innovation Center for AI Technology, Shenzhen University · Tencent Youtu Lab · Peking University +1

  42. LearnOpt: Recovering the Latent Cognitive Structure of Standardized Examinations via Knowledge Graphs and Constrained Optimization

    Jun 13, 2026Joy Bose, Om ThomasLearnAssessment

    Independent Researchers Bengaluru, India

  43. Forecasting Future Behavior as a Learning Task

    Jun 9, 2026Mosh Levy, Yoav Goldberg, Asa Cooper SticklandLarge Language Model ForecastingReasoning Trajectory

    Bar-Ilan University · Constellation · UK AI Security Institute +1

  44. On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets

    May 29, 2026Ana Gjorgjevikj, Barbara Koroušić Seljak, Tome EftimovMultilingualBenchmark Datasets

    Computer Systems Department Jožef Stefan Institute Ljubljana, Slovenia

  45. Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents

    May 27, 2026Suji Kim, Kangsan Kim, Sung Ju HwangComputer-Use AgentsSparse Structural Specialization

    KAIST · Samsung Electronics

  46. Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build

    May 20, 2026Sina Rismanchian, Hasan Uzun, Jeffrey Matayoshi +2Generative Artificial IntelligenceMath Problems

    University of California, Irvine · McGraw Hill

  47. Mechanistic Interpretability for Learning Assurance of a Vision-Based Landing System

    May 20, 2026Romeo Valentin, Olivia Beyer Bruvik, Marc R. Schlichting +1AeroactMechanistic Interpretability

    Stanford Intelligent Systems Laboratory, Stanford University, Stanford, CA, USA

  48. A conceptual framework for learning to listen by reward: Curiosity-driven search for novel sources

    May 19, 2026Andreas Triantafyllopoulos, Jakub Šťastný, Alexios Terpinas +3Offline Reinforcement LearningLearn

    CHI – Chair of Health Informatics, Technical University of Munich, Munich, Germany · MCML – Munich Center for Machine Learning, Munich, Germany · MDSI – Munich Data Science Institute, Munich, Germany +1

  49. Beyond Predefined Learning Objects: A Thinking-Learning Interaction Model for Up-to-Date Autonomous Robot Learning

    May 17, 2026Hong SuScalable Robot LearningRobot Systems

    School of Computer Science, Chengdu University of Information Technology, Chengdu, China

  50. Prospective Compression in Human Abstraction Learning

    May 11, 2026Leonardo Hernandez Cano, Ivan Zareski, Luisa El Amouri +6LearnTask-Aware Compression

    1Massachusetts Institute of Technology · 2Dalhousie University · University of Edinburgh +1

  51. EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function

    May 6, 2026Elias Stenhede, Joanna Sulkowska, Eivind Bjørkan Orstad +2EchocardiographyCardiac Motion

    Medical Technology & E-Health, Akershus University Hospital, Norway · Department of Technology Systems, University of Oslo, Norway · Department of Cardiology, Akershus University Hospital, Norway

  52. Library learning with e-graphs on jazz harmony

    May 6, 2026Zeng Ren, Maddy Bowers, Xinyi Guan +1Sheet MusicHarmonization

    EPFL Lausanne, Vaud, Switzerland · MIT Cambridge, Massachusetts, USA

  53. NLPOpt-Net: A Learning Method for Nonlinear Optimization with Feasibility Guarantees

    Apr 30, 2026Bimol Nath Roy, Rahul Golder, MM Faruque HasanInequality ConstraintsNeural Network Optimization

    Texas A&M University

  54. Contextual Agentic Memory is a Memo, Not True Memory

    Apr 30, 2026Binyan Xu, Xilin Dai, Kehuan ZhangAgentic MemoryMemo

    The Chinese University of Hong Kong, Hong Kong, China · Zhejiang University, Hangzhou, China

  55. Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics

    Apr 28, 2026Pernilla Hall, Anton Ununger, Riccardo Rubei +1Fault DiagnosisBug Detection

    ABB Robotics · Sweden · Mälardalen University

  56. Learn&Drop: Fast Learning of CNNs based on Layer Dropping

    Apr 25, 2026Giorgio Cruciata, Luca Cruciata, Liliana Lo Presti +2Convolutional Neural NetworksResidual Networks

    Engineering Department, University of Palermo, V.le delle Scienze, Ed. 6, Palermo, 90128, Italy. · Computer Vision Lab, Delft University of Technology, Van Mourik Broekmanweg 6,2026 Delft, 2628 XE, The Netherlands.

  57. Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches

    Apr 23, 2026Çağkan YaparRadio Map EstimationOptimal Sensor Placement

  58. Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model

    Apr 20, 2026Chenming Tang, Hsiu-Yuan Huang, Weijie Liu +3Adaptive CurriculumLearn

    ♠National Key Laboratory for Multimedia Information Processing, Peking University · ♣School of Computer Science, Peking University · ∗Work done during an internship at Tencent +2

  59. Verification Modulo Tested Library Contracts

    Apr 16, 2026Abhishek Uppar, Omar Muhammad, Sumanth Prabhu +3ContractsRuntime Enforcement

    Indian Institute of Science, India · Relyance AI, India · University of Illinois Urbana-Champaign, Department of Computer Science, USA +1

  60. UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents

    Apr 13, 2026Yijuan Liang, Xinghao Chen, Yifan Ge +5Tool InvocationLarge Language Model Agents

    University of Science and Technology of China · Zhejiang Key Laboratory of Industrial Intelligence and Digital Twin, Eastern Institute of Technology, Ningbo · Department of Computing, The Hong Kong Polytechnic University