Reinforcement Learning with Verifiable Rewards

Also known as RLVR

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59 papers in the last four weeks, up 119% on the four weeks before. 0.6% of all new papers.

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  1. Verifier-Induced Support Reshaping in On-Policy Optimization

    Jul 31, 2026Shaohang Wei, Zikun Su, Feifan Song +4RL for Language Model ReasoningReinforcement Learning with Verifiable Rewards

    Peking University · BUPT

  2. SAF-OPD: Stable Advantage Fusion for On-Policy Distillation

    Jul 31, 2026Yifan Ding, Xincheng Wei, Yoshua Y. Li +7RL for Language Model ReasoningReinforcement Learning with Verifiable Rewards

    Shanghai University of Finance and Economics · Meituan, LongCat Team · The Chinese University of Hong Kong, Shenzhen +1

  3. LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language Models

    Jul 30, 2026Shuang Liang, Haoyang Zhou, Yifan Gong +2Numerical Reasoning in Language ModelsReinforcement Learning with Verifiable Rewards

    Renmin University of China · AntGroup

  4. Group-Reflective Self-Distillation for Agentic Reinforcement Learning

    Jul 30, 2026Binbin Zheng, Zijun Xie, Guanqun Zhao +4Agentic RLCredit Assignment in RL

    University of Science and Technology of China · 2Baidu Inc. · 3Peking University +3

  5. Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning

    Jul 30, 2026Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj +1Reinforcement Learning with Verifiable RewardsMachine Unlearning

    Technical University of Munich, Germany · Munich Center for Machine Learning, Germany · Sapienza University of Rome, Italy

  6. Not All Tokens Deserve Equal Credit: Counterfactual Sensitivity Credit Reallocation for Long-CoT Reasoning

    Jul 30, 2026Qiangqiang He, Zhongheng Wu, ZiJian WangToken-Level Credit AssignmentRL for Language Model Reasoning

    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China · Institute of Wireless Communications Technology, Shanghai Jiao Tong University, Shanghai, China

  7. LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts

    Jul 30, 2026Ken DingReinforcement LearningRL for Language Model Reasoning

    NVIDIA

  8. Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection

    Jul 29, 2026Yikun Li, Ting Zhang, Jiakun Liu +9Agentic RLSoftware Vulnerability Detection

    1Singapore Management University, Singapore · 2Harbin Institute of Technology, China · 3GovTech, Singapore

  9. DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning

    Jul 29, 2026Shuhang Wang, Ziming Li, Hui ChengRL for Code GenerationReinforcement Learning

  10. Early Verdicts, Better Budgets: Sequential Adaptive Rollout Allocation for Compute-Efficient RLVR

    Jul 28, 2026Pixel Nomand, Elena Voss, Marcus Hale +1Reinforcement LearningRL for Language Model Reasoning

    University of Wisconsin–Madison · University of Washington

  11. Reinforcement Learning for Code Optimization

    Jul 28, 2026Pierre Chambon, Kunhao Zheng, Juliette Decugis +2RL for Code GenerationReinforcement Learning

    FAIR at Meta · Inria · Université Paris Dauphine

  12. CAST: Game Solvers as Turn-Level Teachers for LLM Agents

    Jul 28, 2026Yu Wang, Yi-Kai Zhang, Wentao Shi +8Reinforcement LearningGame-Playing Agents

    University of Science and Technology of China · 4Meituan, China · 2Nanjing University +1

  13. EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff

    Jul 27, 2026Xiao Ma, Zhiquan Hu, Yi Wei +5Reinforcement LearningAgentic RAG

    NEXTAI Research Institute, Chery Group

  14. From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement

    Jul 26, 2026Qinsi Wang, Jing Shi, Huazheng Wang +8Self-Play RLReinforcement Learning with Verifiable Rewards

    Duke University · Adobe Inc. · Oregon State University +3

  15. Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning

    Jul 24, 2026Heyang Jiang, Henry Liu, Baharan MirzasoleimanRL for Code GenerationRL for Language Model Reasoning

    University of California, Los Angeles

  16. AdaKP: Online Adaptive Knowledge-Point Selection for Reasoning-Oriented Reinforcement Learning

    Jul 23, 2026Zibin Meng, Zhenyu Zhao, Chunqiang RunKnowledge Augmentation for Language ModelsRL for Language Model Reasoning

    The Hong Kong University of Science and Technology · University of the Chinese Academy of Sciences

  17. From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python

    Jul 23, 2026Muntasir Adnan, Manile Srun, Carlos C. N. KuhnSoftware Vulnerability DetectionLLMs for Cybersecurity

    Open Source Institute, Faculty of Science and Technology, University of Canberra, Canberra, Australia.

  18. Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation

    Jul 23, 2026Quazi Ishtiaque Mahmud, Nesreen K. Ahmed, Ali JannesariRL for Code GenerationGPU Kernel Optimization

    Iowa State University, Ames, IA, USA · Cisco AI Research, San Jose, CA, USA

  19. Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning

    Jul 22, 2026Md Tanvirul AlamSynthetic Data GenerationVLM Reasoning

    Rochester Institute of Technology Rochester, NY, USA

  20. SLPO: Scaling Latent Reasoning via a Surrogate Policy

    Jul 22, 2026Runyang You, Zhiyuan Liu, Yongqi Li +1Reinforcement LearningRL for Language Model Reasoning

    The Hong Kong Polytechnic University · Sichuan University · Work done as an intern at PolyU.

  21. ISO: An RLVR-Native Optimization Stack

    Jul 21, 2026Hanqing Zhu, Wenyan Cong, Zhizhou Sha +8Reinforcement Learning with Verifiable RewardsRL Post-Training

    The University of Texas at Austin · UIUC · Emory University +3

  22. Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information

    Jul 21, 2026Priyank Agrawal, Ankur Samanta, Shervin Ghasemlou +4Reinforcement LearningRL for Language Model Reasoning

    1Meta AI · 2Columbia University · *Work done at Meta

  23. The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation

    Jul 21, 2026Michael Jungo, Aixiu AnRL for Language ModelsRL for Language Model Reasoning

    AIBEX, University of Fribourg Fribourg, Switzerland · iCoSys, University of Applied Sciences and Arts Western Switzerland Fribourg, Switzerland

  24. Adopting Reinforcement Learning with Verifiable Rewards for Molecular Generation

    Jul 21, 2026Mingxuan Ouyang, Hao Lan, Wanyu LinMolecular OptimizationReinforcement Learning with Verifiable Rewards

  25. H2^2SD: Hybrid Hindsight Self-Distillation

    Jul 21, 2026Qiye Cai, Yichuan Ma, Peiji Li +6RL for Language Model ReasoningLanguage Model Distillation

    1Shanghai Artificial Intelligence Laboratory · 2Harbin Institute of Technology · 3Fudan University +1

  26. Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization

    Jul 16, 2026Weiwen Xu, Jia Liu, Hou Pong Chan +4RL for Language Model ReasoningPolicy Optimization

    1The Chinese University of Hong Kong · 2South China University of Technology · 3Nanyang Technological University

  27. Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards

    Jul 16, 2026Yuxuan Zhu, Rohan Alur, Daniel KangPAC-Bayesian Generalization BoundsReinforcement Learning with Verifiable Rewards

    UIUC · MIT · Bridgewater AIA Labs

  28. SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

    Jul 15, 2026Cheng Tang, Junzhi Ning, Min Cen +9Reinforcement Learning with Verifiable RewardsVisually Grounded Reasoning

    Shanghai Artificial Intelligence Laboratory · Shanghai Jiao Tong University · Sichuan University +2

  29. Verifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control

    Jul 14, 2026Takumi Shioda, Kohei Terashima, Tatsuo NagaiRL for Language Model ReasoningBuilding Energy Management

    The University of Tokyo · Tokyo University of Science

  30. Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

    Jul 14, 2026Xinyu Tang, Qianggang Cao, Yurou Liu +13RL for Language ModelsRL for Language Model Reasoning

    1Gaoling School of Artificial Intelligence, Renmin University of China · 2Ant Group · 3Tsinghua University +1