RL for Generative Models

RL: Reinforcement Learning

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12 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. READ More than What You See: Reinforcement Learning for Accurate and Coherent Audio Description Generations

    Jun 22, 2026Bo Fang, Xinyao Zhang, Yuxin Song +3RL for Generative Models

    City University of Hong Kong · Baidu Inc · Tsinghua University

  2. Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning

    Jun 19, 2026Ling Chen, Ruinan Jin, Jun Luo +6Radiology Report GenerationControllable Text Generation

    The Ohio State University, Columbus, OH 43221, USA · University Medical Center Regensburg, Regensburg, Germany

  3. ReFPO: Reflow Regularization for Flow Matching Policy Gradients

    Jun 19, 2026Ge Wang, Yibo Peng, Fan Feng +10Policy GradientReinforcement Learning

    Ising AI · CUHK-Shenzhen · FNii-Shenzhen

  4. The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL

    Jun 17, 2026Nicolas Beltran-Velez, Felix Friedrich, Zhang Xiaofeng +4Flow MatchingReinforcement Learning

    FAIR at Meta · Columbia University · Mila – Québec AI Institute +3

  5. Steering Generative Reinforcement Learning into Stable Robotic Controller

    Jun 15, 2026Yixuan Wang, Shutong Ding, Ke Hu +3Latent Action LearningRobotic RL

    1ShanghaiTech University

  6. Interactor: Agentic RL oriented Iterative Creation for Ad Description Generation in Sponsored Search

    Jun 14, 2026Penghui Wei, Jiayu Wu, Chao Ye +3Online AdvertisingRL for Generative Models

    Search Ads, Baidu Inc.

  7. Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding

    Jun 11, 2026Ziqing Wang, Weihao Li, Shijie Chen +2Supervised Fine-TuningAutomated Medical Coding

    Northwestern University

  8. Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier

    Jun 10, 2026Lorenz Wolf, Connor Watts, Roger Creus Castanyer +4Reinforcement LearningSynthetic Benchmark Generation

    Vmax · Goodfire

  9. Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning

    Jun 9, 2026Zhiyuan Zhou, Andy Peng, Charles Xu +4Policy OptimizationOffline RL

    UC Berkeley · Physical Intelligence

  10. Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models

    Jun 9, 2026Bowen Ping, Xiangxin Zhou, Penghui Qi +3RL for Video GenerationRL for Image Generation

    Xi’an Jiaotong University · Tencent Hunyuan · National University of Singapore

  11. Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients

    Jun 5, 2026Stefan Ivanovic, Ge Liu, Mohammed El-KebirLatent Variable ModelsPolicy Gradient Methods

    Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, IL 61801, USA · Cancer Center at Illinois, University of Illinois Urbana-Champaign, IL 61801, USA

  12. GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios

    Jun 5, 2026Ke Hu, Shutong Ding, Panxin Tao +2RL ControlPolicy Gradient Methods

    ShanghaiTech University

  13. AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO

    Jun 5, 2026Jiazi Bu, Pengyang Ling, Yujie Zhou +8T2I GenerationGroup Relative Policy Optimization

    1Shanghai Jiao Tong University · 2S-Lab, Nanyang Technological University · 3Shanghai AI Laboratory +7

  14. Vault: One-Step Latent Generation with Positive-Anchored Rewards for Autonomous Driving

    Jun 4, 2026Yining Xing, Zehong Ke, Zhiyuan Liu +1End-to-End Autonomous DrivingOne-Step Generative Modeling

  15. OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation

    Jun 4, 2026Paavo Parmas, Yongmin Kim, Kohsei Matsutani +5Stochastic OptimizationRisk-Sensitive RL

    The University of Tokyo

  16. MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching

    Jun 1, 2026Jiahui Huang, Yasi Zhang, Tianyu Chen +6Multimodal Reward ModelingRL for Generative Models

    Apple · University of California, Los Angeles · University of Texas at Austin +1

  17. Pave-GRPO: Beyond Instantaneous Guidance through Principled Average Velocity Decomposition

    Jun 1, 2026Pengyang Ling, Jiazi Bu, Yujie Zhou +6Diffusion Model AlignmentGroup Relative Policy Optimization

    University of Science and Technology of China, China · Shanghai Jiao Tong University, China · Fudan University, China +3

  18. AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning

    May 27, 2026Bjarke Hastrup, Francois Cornet, Tejs Vegge +1AI Agents for Scientific Discovery3D Molecular Generation

    Dept. of Energy Conversion and Storage, Technical University of Denmark, Denmark · Dept. of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark · Pioneer Center for Accelerating P2X Materials Discovery (CAPeX), Kgs. Lyngby, Denmark

  19. Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation

    May 26, 2026Zixuan Yang, Yiqun Chen, Wei Yang +7Open-Ended GenerationReward Modeling

    Renmin University of China · University of Southern California · Zhejiang University +1

  20. AdvantageFlow: Regularized Advantage-Weighted RL in Flow Models

    May 25, 2026Branislav Kveton, Anup Rao, Subhojyoti Mukherjee +2Rectified FlowRL for Image Generation

    Adobe Research

  21. GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation

    May 25, 2026Sifan Li, Yujun Cai, Hongkai Chen +1RL for Generative ModelsConditional Generation

    University of California, Merced · The University of Queensland · vivo Mobile Communication Co., Ltd.

  22. Geo-Align: Video Generation Alignment via Metric Geometry Reward

    May 22, 2026Zizun Li, Haoyu Guo, Runzhe Teng +2Camera-Controlled Video GenerationReinforcement Learning

    1USTC · 2Shanghai AI Lab · 3ZJU

  23. Precise: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models

    May 22, 2026Jade Zou, Tao Huang, Weijie Kong +7Diffusion Model AlignmentFlow Matching

    Peking University · Tencent Hunyuan

  24. Reinforcement Learning for Graph Generation under a Hard Assortativity Constraint

    May 22, 2026Hoyun Choi, Junghyo Jo, Deok-Sun LeeGraph RewiringGraph Generation

    School of Computational Sciences, Korea Institute for Advanced Study, 85, Hoegi-ro, 02455, Seoul, Korea. · Department of Physics Education, Seoul National University, 1, Gwanak-ro, 08826, Seoul, Korea. · Center for Theoretical Physics and Artificial Intelligence Institute, Seoul National University, 1, Gwanak-ro, 08826, Seoul, Korea. +1

  25. Stochastic MeanFlow Policies: One-Step Generative Control with Entropic Mirror Descent

    May 20, 2026Zeyuan Wang, Da Li, Yulin Chen +6Reinforcement LearningMaximum Entropy RL

    Laboratory for Big Data and Decision, National University of Defense Technology, China · Samsung AI Center Cambridge, UK · Queen Mary University of London, UK +3

  26. Memory-Augmented Reinforcement Learning Agent for CAD Generation

    May 19, 2026Yin Xiaolong, Liu Yu, Shen Jiahang +4Text-to-CAD GenerationRL for Generative Models

    Zhejiang University · Ocean University of China

  27. FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models

    May 19, 2026Yi Sun, Zhiqi Zhang, Xinhao Zhong +5Flow MatchingT2I Generation

    Harbin Institute of Technology, Shenzhen · Jilin University · Tsinghua Shenzhen International Graduate School, Tsinghua University +2

  28. Generative Auto-Bidding with Unified Modeling and Exploration

    May 19, 2026Mingming Zhang, Feiqing Zhuang, Na Li +7Automated BiddingOnline Advertising

    Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University · Taobao & Tmall Group of Alibaba

  29. Latent Action Control for Reasoning-Guided Unified Image Generation

    May 16, 2026Fuxiang Zhai, Sixiang Chen, Yingjin Li +4Unified Multimodal ModelsCompositional T2I Generation

    The Hong Kong University of Science and Technology (Guangzhou)

  30. Embedding-perturbed Exploration Preference Optimization for Flow Models

    May 15, 2026Sujie Hu, Chubin Chen, Jiashu Zhu +3AI AlignmentGroup Relative Policy Optimization

    1Tsinghua University · ⋆Work done during the internship at AMAP · 2AMAP, Alibaba Group