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70 papers in the last four weeks, up 250% on the four weeks before. 0.7% of all new papers.

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  1. Feedback Without the Wait: Piloting a Generative AI Practice Platform in a Large Maths Class

    Oct 1, 2026Lili Chen, Gavin Buskes, Yuxin Ren +1Generative Artificial IntelligenceFeedback

    The University of Melbourne · Monash University

  2. An Educator-Guided LLM Pedagogical Agent for Scaffolded Feedback in Conceptual Database Design

    Oct 1, 2026Sara Riazi, Pedram RooshenasFeedbackPedagogical Frameworks

    University of Illinois Chicago Chicago, IL, USA

  3. Learning When and How to Intervene: A Hindsight-Distilled Sentinel for Coding Agents

    Sep 30, 2026Jiangrui Zhao, Chenglong Li, Meng Zhang +1Coding AgentsHindsight

    Beijing University of Posts and Telecommunications · Beijing University of Technology · Meta

  4. ConflictGuide: AutoResearch Improves When Competing Behaviors Are Made Visible

    Sep 30, 2026Binqian Xu, Qiran Zou, Xiangbo Shu +1Code QualityAdversarial Evaluation

    National University of Singapore · Nanjing University of Science and Technology

  5. Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models

    Sep 30, 2026Mingyue Cui, Zheyuan Liu, Yihan Zhu +2Boltzmann PoliciesRobotic Manipulation

    University of Notre Dame

  6. A2Z GameSpec-Bench: How Faithfully Can Coding Agents Generate Games from Game Design Specifications?

    Sep 30, 2026Seonho Lee, Wonryeol Jeong, Alberto Cereser +4Test GenerationFeedback

    KRAFTON · KAIST · Korea National University of Arts

  7. Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback

    Sep 30, 2026Ho-min Park, Byungkon KangMultimodal RepresentationsMultimodal Classification

    Data Science Center, Texas Children’s Hospital Baylor College of Medicine Houston, Texas 77030, USA · Department of Computer Science SUNY Korea Incheon, Republic of Korea

  8. Robust Risk-Sensitive Reinforcement Learning from Corrupted Human Feedback

    Sep 30, 2026Xinyi Ni, Lifeng LaiReinforcement Learning From Human FeedbackConditional-Value-At-Risk

    Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA

  9. Adaptive Self-Consistency: From Black-Box Sampling to Distribution-Valued Feedback

    Sep 30, 2026Jingkai Huang, Yunfan Zhang, Will Ma +2Self-ConsistencySelf-Distillation Framework

    Stern School of Business New York University · School of Management Zhejiang University

  10. Training LLM Judges from Language Feedback via Position-Selective Self-Distillation

    Sep 30, 2026Ilgee Hong, Changlong Yu, Zhenghao Xu +5Self-Distillation FrameworkLarge Language Model Judges

    Georgia Institute of Technology · Amazon · UC San Diego

  11. UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement

    Sep 30, 2026Fang Wu, Da Xing, Yanjie Huang +16Multimodal ModelSelf-Evolution

    Stanford University · Johns Hopkins University · Independent Researcher +7

  12. Understanding Off- vs On-Policy Distillation: A Tale of Distinct Training Objectives

    Sep 29, 2026Qiwei Di, Xuheng Li, Kaixuan Ji +3Kullback-Leibler DivergenceFeedback

    Department of Computer Science, University of California, Los Angeles, CA 90095, USA

  13. Component-Aware Feedback for Self-Evolving Programs

    Sep 29, 2026Ethan Lin, Jinming Nian, Yi FangEvolutionary SearchSelf-Evolution

    Santa Clara University

  14. Decode-Latency Feedback Prefill: A Model-Free Controller and Its Generalization Limits

    Sep 29, 2026Gaurav Agarwal, Ashish Garg, Isha SinghalTime-To-First-TokenGraphics Processing Unit Resources

  15. Pretraining Latent Information Feedback Transformers with Teacher Supervision

    Sep 29, 2026Dor Tirosh, Ido Amos, Mor GevaTransformer ArchitecturesPretraining

    Blavatnik School of Computer Science and AI, Tel Aviv University · The Hebrew University of Jerusalem

  16. Stochastic World Models for Verifying Vision-Based Neural Feedback Systems

    Sep 29, 2026I. Samuel Akinwande, Mykel J. Kochenderfer, Clark BarrettWorld ModelsGenerative Adversarial Network

    Department of Aeronautics and Astronautics, Stanford University · Department of Computer Science, Stanford University

  17. ProAct-VLM: Pre-Failure Vision-Language Task Replanning with Continuous Perception Feedback

    Sep 29, 2026Ahmed Nader Ahmed, Omar Moured, Mughni Irfan Mohammed Abdul +2Long-Horizon ManipulationPerception

    Khalifa University, Abu Dhabi, United Arab Emirates. · Sereact GmbH, Stuttgart, Germany.

  18. RLTL;DR: Self-improvement by Internalizing Self-generated Feedback

    Sep 29, 2026Michael Kirchhof, Eleonora Gualdoni, Andrew Szot +6Reinforcement Learning With Verifiable RewardRecursive Self-Improvement

    Apple

  19. How Can Recommendation Feedback Evolve Agent Memory?

    Sep 29, 2026Shanwen Mao, Mingming Li, Hao Zhang +4FeedbackClick-Through Rate Prediction

    Harbin Institute of Technology, Harbin, China · Alibaba Group, Hangzhou, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China

  20. Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback

    Sep 29, 2026Jitin Singla, Parikshit Pareek, Pratik Jawanpuria +1Mixed-Integer ProgrammingHard

    IIT Roorkee · IIT Bombay · IIT Delhi

  21. LLMs Learn to Evade Latent Monitors from Prior Feedback Alone

    Sep 29, 2026Hugo Lyons Keenan, Christopher Leckie, Sarah ErfaniModel ActivationsEvasion

    School of Computing and Information Systems The University of Melbourne, Victoria, Australia

  22. Action Chunking Proximal Policy Optimization with Feedback Correction

    Sep 28, 2026Sanghyun Hahn, Jonghyun ChoiAction ChunksProximal Policy Optimization

    Cornell University · Seoul National University

  23. Scouting the Dynamics Gap: Test-Time Policy Adaptation via Action-Outcome Feedback

    Sep 28, 2026Yishu Li, Liyuan Geng, Xinyi Mao +2Robot PoliciesMeta-Learning

    Robotics Institute, Carnegie Mellon University · Computer Science and Technology, Tsinghua University

  24. Verifier Errors in RLVR: Reward Hacking, Limits of Feedback, and Selective Control

    Sep 28, 2026Christian Moya, Elliott Thornley, Guang LinReinforcement Learning With Verifiable RewardVerifiable Rewards

    Purdue University · National University of Singapore

  25. Inductive Feedback for Mixed-Policy Distillation

    Sep 28, 2026Amir Moeini, Huaijiang Zhu, Daniel Havir +1FeedbackAutoregressive Rollout

    Alquist Robotics · University of Virginia

  26. How Well Can LLMs Simulate Real Learner Evaluations of Educational Feedback?

    Sep 28, 2026Momoka Furuhashi, Kouta Nakayama, Takashi Kodama +2Large Language Model EvaluationFeedback

    Tohoku University · Research and Development Center for Large Language Models, National Institute of Informatics · National Institute of Informatics +2

  27. Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation

    Sep 28, 2026Xin Li, Hao Jiang, Xin Gao +6Aware Heterogeneous Multi-Teacher Multimodal On-Policy DistillationTeacher

    Nanyang Technological University · Yale University · University of Manchester

  28. Polylogarithmic Nash Regret in Matrix Games with Bandit Feedback

    Sep 28, 2026Yuheng ZhangImperfect-Information GamesBandits

    University of Illinois Urbana-Champaign

  29. UniOPSD: Unifying Outcome and Hindsight Feedback for Agentic Reinforcement Learning

    Sep 28, 2026Zenghuang Fu, Zhaoyang Li, Qiuyuan Ai +8Unsupervised On-Policy Self-DistillationHindsight

    University of Chinese Academy of Sciences · Institute of Automation, Chinese Academy of Sciences · Peking University +3

  30. Learning Propagation Geometry from Message-Passing Feedback

    Sep 28, 2026Yingxu Wang, Kunyu Zhang, Xinwang Liu +4Graph Neural NetworksGeometric Machine Learning

    The Chinese University of Hong Kong · The Education University of Hong Kong · National University of Defense Technology +3

  31. CoeF-SFL: Preserving Collaborative Server-Client Learning with Enhanced Communication Efficiency

    Sep 28, 2026Junwoo Bae, Jin-Hyun AhnFeedbackEfficiency

    Myongji University

  32. The Statistical Cost of Causal Discovery with Feedback

    Sep 28, 2026Sunmin Oh, Seungsu Han, Gunwoong ParkCausal Discovery MethodsCausal

    Department of Statistics; Institute for Data Innovation in Science, Seoul National University, Korea · Department of Operations Research and Financial Engineering, Princeton University, USA · Department of Statistics; Interdisciplinary Program in Artificial Intelligence; Institute for Data Innovation in Science, Seoul National University, Korea.

  33. RewardExplainer: Learning Reward Model Explanations from Counterfactual Preference Feedback

    Sep 27, 2026Jingyi He, Nier Wu, Shuang Liu +3Progress Reward ModelingExplainable AI Methods

    The Chinese University of Hong Kong, Shenzhen · Shanghai Jiao Tong University · Carnegie Mellon University +2

  34. Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning

    Sep 27, 2026Woongyeong Yeo, Minki Kang, Chanuk Lee +3LLM Reasoning StrategiesCredit Assignment

    KAIST

  35. Feedback Makes Perfect: A Closed-Loop Framework for NL-to-STL Translation

    Sep 27, 2026Bowen Ye, Xiang YinSignal Temporal LogicNatural Language

    Shanghai Jiao Tong University Shanghai, China

  36. TaskIR: Task-Driven Image Restoration via Degradation Adaptation and Task Feedback

    Sep 25, 2026Yanjie Tu, Qingsen Yan, Axi Niu +4Image RestorationRestoration

    Northwestern Polytechnical University · Shenzhen Research Institute of Northwestern Polytechnical University · Xi’an University of Architecture and Technology

  37. SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback

    Sep 24, 2026Chenxi Li, Wenxuan Zeng, Yun Luo +4Code GenerationLarge Language Model Workflows

    The Hong Kong University of Science and Technology · Shanghai AI Laboratory · Tsinghua University +1

  38. A Risk-Adaptive and Evidence-Constrained Framework for Generative AI Feedback in Programming Education

    Sep 24, 2026Shihao WangArtificial Intelligence EducationFeedback

    Department of Education, Practice and Society, UCL Institute of Education, University College London, London, United Kingdom

  39. Learning Collective Dynamics with Differentiable Gaussian Representations

    Sep 23, 2026Jianxiang Ma, Mingfu Zhang, Xiaocui Yang +3Learning DynamicsCollective Behaviors

    School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China · OranAI, Shenzhen 518057, China · OranAI Ltd., City of Industry, CA 91748, USA

  40. Exact Feedback Is Not Control: Evaluating Text-based Closed-Loop Revision in LLMs

    Sep 23, 2026Haitong Jiang, Chunlin Liu, Yile Wang +1FeedbackReproducibility

    College of Computer Science and Software Engineering, Shenzhen University

  41. RL Starts before RL: On Policy Distillation for Better Reinforcement Learning

    Sep 23, 2026Shuai Dong, Yongfu Zhu, Yuqi Xu +26Offline Reinforcement LearningFeedback

    Fudan University · SII · Peking University +2

  42. Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing

    Sep 23, 2026Norah Almousa, Shayan Peyghambari Oskoui, Raquel Coelho +3Feedback

    University of Pittsburgh

  43. Discover, Falsify, Revise: Auditing Input-Use Claims from Source Code to Predictive Contribution in Agent-Discovered Cell Models

    Sep 23, 2026Mengran Li, Bo Li, Chengyang Zhang +3Virtual CellModel Auditing

    Sun Yat-sen University · University of Macau · Sichuan University +3

  44. Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale Annotation

    Sep 22, 2026Zeyu He, Zhuqian Zhou, Kirk Vanacore +2Automatic LabellingFeedback

    The Pennsylvania State University, University Park, PA, USA · Cornell University, Ithaca, NY, USA

  45. MICRO: Multi-Fidelity Active Search for Severe Error Discovery

    Sep 22, 2026Orlando Leone, Niclas Pokel, Pehuén Moure +2FeedbackDiscovery

    Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland · ETH AI Center, Switzerland · Department of Computational Linguistics, University of Zurich, Switzerland

  46. Learning Neural Feedback Linearization for Data-driven Systems via Augmented Lagrangian

    Sep 21, 2026Lakshmi Priya P. K., Andreas SchwungRobust ControlClosed-Loop Feedback

    Department of Automation Technology and Learning Systems, South Westphalia University of Applied Sciences,Lübecker Ring 2, Soest, 59494, Germany

  47. STEVE: Stabilizing Textual Gradient-Based Prompt Optimization via Error-Driven Refinement and Regularized Verification

    Sep 20, 2026Yifan Xu, Yixuan Li, Xinzhuo Li +4Prior Prompt Optimization TechniquesText Generation

    University of Illinois Urbana-Champaign · Google DeepMind

  48. DENSE: Distilling Agent Trajectories into Evidence-Grounded Shortcut Trees for Self-Refinement

    Sep 18, 2026Siyuan Liu, Fan Yu, Dongyu Ru +5Self-Improving AgentsRetrying

    Fudan University · Meituan Longcat Team

  49. E-AVI: Evidence-Grounded Multimodal Assessment for Automated Video Interviews

    Sep 17, 2026Haoshen Wang, Dongbo Che, Zeyi Xie +3Multimodal EvaluationFine-Grained Video Understanding

    The Hong Kong Polytechnic University · Independent Researcher

  50. I code or AI code: A comparative evaluation of AI-rated scores in classroom observations

    Sep 16, 2026Y. Fong, J. Xiang, T. Y. D. Chan +2ClassroomsComputerized Adaptive Testing

    Department of Early Childhood Education, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, Hong Kong SAR, China · Yew Chung College of Early Childhood Education, 2 Tin Wan Hill Road, Tin Wan, Hong Kong SAR, China

  51. Interactive Memory Learning for Long-Term Conversations

    Sep 15, 2026Cai Ke, Jiangyue Yan, Han Zhang +5Long-TermFeedback

    Harbin Institute of Technology, Shenzhen, China · Pengcheng Laboratory, China

  52. PaperDoctor: Evidence-Grounded and Actionable Feedback for Scientific Papers in Progress

    Sep 15, 2026Kevin Qinghong Lin, Siyuan Hu, Pan Lu +14Peer ReviewReviewer

    University of Oxford · 3National University of Singapore · 2Stanford University +3

  53. The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment

    Sep 15, 2026Donya Rooein, Luca Benedetto, Dirk HovyLarge Language Model BiasComputerized Adaptive Testing

    Bocconi University, Milan, Italy · Télécom SudParis, Institut Polytechnique de Paris, Palaiseau, France

  54. AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery

    Sep 14, 2026Junhao Qiu, Qinglong Hu, Ji Cheng +3Evolutionary SearchSelf-Evolving Agents

    Department of Computer Science, City University of Hong Kong · Huawei Noah’s Ark Lab · Institute of Advanced Intelligence and Computing, A*STAR

  55. Bandits with Probing: Optimal Regret and the Limits of Winner Feedback

    Sep 14, 2026Yongjie GuanOptimal RegretMinimax

    Zhejiang University of Technology

  56. VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries

    Sep 14, 2026Wenxin Xu, Jinwei Lu, Hwanhee Kim +4InteractivityQueries

    The Hong Kong Polytechnic University · ByteDance

  57. RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems

    Sep 14, 2026Ziyue Yang, Yuting Jiang, Lei Qu +1LLM Inference OptimizationDeepseek

    Shanghai Xingyunzhili Artificial Intelligence Institute, Shanghai, China · Microsoft Research, Redmond, WA, USA

  58. What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework

    Sep 14, 2026Ioannis Prokopiou, Athanasios Aidinis, Panagiotis-Christos Kyrmpatsos +1Text2CypherLarge Language Model Agents

    Athens University of Economics and Business · Orfium

  59. When Greedy Sampling Explores: KL-Regularized Contextual Bandits without Eluder-Dimension Dependence

    Sep 11, 2026Zichen Wang, Haoyang Hong, Huazheng WangContextual Bandit FrameworkKullback-Leibler Regularization

    Department of ECE and CSL, University of Illinois Urbana-Champaign · School of Electrical Engineering and Computer Science, Oregon State University

  60. Preference Optimization with LALM Feedback for Continuous Autoregressive Non-Verbal Vocalization Generation

    Sep 10, 2026Jingbin Hu, Qirui Zhan, Yuang Cao +7Preference LearningFeedback

    Shenzhen Pimei Technology Co., Ltd., Guangdong, China · Yutu Zhineng, Beijing, China · State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China +1