Reinforcement Learning Post-Training

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in Reinforcement Learning Post-Training.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Reinforcement Learning Post-Training.

91 papers

Latest in Reinforcement Learning Post-Training

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  1. Not All Prompts Are Equal: Exploration-Guided Prompt Scaffolding for Multimodal Reinforcement Post-Training

    Sep 14, 2026Yuanhao Yue, Qianli Ma, Chengyu Wang +3Reinforcement Learning Post-Training

  2. Performance, Efficiency and Collapse -- Advantages and Challenges in Offline Post-training of Code LLMs

    Sep 14, 2026Abhinav Anand, Sanjana Reddy Pachika, Shweta Verma +1Reinforcement Learning Post-TrainingAI Code Generation

  3. RoboDrop: Curating VLA Post-Training Data via Local Gradient Compatibility

    Sep 9, 2026Runze Xu, Yuanfan Xu, Cuijie Xu +4Robotic DatasetsRoboracer Platform

  4. Miles v0.1: Production-Level Post-Training

    Sep 8, 2026RadixArk, :, Tom Chen +11Reinforcement Learning Post-TrainingOn-Policy Distillation

  5. NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness

    Sep 8, 2026NeoHorse Team, Guoliang Cao, Guohao Dai +34Self-Improving AgentsReinforcement Learning Post-Training

  6. From Rollouts to Recipes: Self-Contained Post-Training for LLMs

    Sep 1, 2026Yifei Li, Lingling Zhang, Muye Huang +3Reinforcement Learning Post-TrainingUnsupervised On-Policy Self-Distillation

  7. PAC: Progress-Augmented Advantage Curriculum for Multi-Task Reinforcement Learning of LLMs

    Aug 31, 2026Yuanqiang Yu, Yanzhao Zheng, Zhentao Zhang +8Reinforcement Learning Post-TrainingMulti-Task Reinforcement Learning

  8. MoE Proxy Models for Low-Cost Failure Reproduction and Diagnosis in LLM RL Post-Training

    Aug 11, 2026Yikai Wang, Chuansai Zhou, Yuhang Zhou +10Reinforcement Learning Post-Training

  9. CHORUS: Complementary Experts for High-Coverage Testbench Stimulus Generation

    Aug 10, 2026Hejia Zhang, Sheng Lu, Zhongming Yu +3Large Language Model GenerationDeepseek-R1

  10. RecoverFly: A Failure-Aware Reinforcement Learning Post-Training Framework for Aerial Vision-Language Navigation

    Aug 10, 2026Boxiong Wang, Hui Kang, Geng Sun +3Aerial Vision-Language NavigationReinforcement Learning Post-Training

  11. Beyond Solvability: Task Learnability as a Static Prior for LLM RL Post-Training

    Aug 10, 2026Ting Zhou, Zhenqing Ling, Daoyuan Chen +4Reinforcement Learning Post-TrainingReasoning Benchmark

  12. Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models

    Aug 8, 2026Jianqi Zhang, Xingyu Zhang, Zeen Song +3Time Series Foundation ModelsReinforcement Learning Post-Training

  13. TEMPO: Semantic-Action Decoupled RL Post-Training for Vision-Language-Action Models

    Aug 7, 2026Ziheng Liu, Quantao YangDiffusion-Based Vision-Language-ActionsVision-Language-Action

  14. Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning

    Aug 3, 2026Li Wang, Xiaodong Lu, Xiaohan Wang +4Reinforcement Learning Post-TrainingKullback-Leibler Regularization

  15. RMSWeb: Reflection, Failure-Mode Mining, and Salvage-DS for Web Agent Reinforcement Learning

    Jul 31, 2026Chengbo Liu, Lifang Zhou, Ruijie Yan +8Safe Reinforcement LearningReinforcement Learning Post-Training

  16. Cross-Benchmark Generalization in Long-Horizon Agents

    Jul 31, 2026Sushant Mehta, Logan Ritchie, Liudas Panavas +1Reinforcement Learning Post-TrainingLong-Horizon Agents

  17. HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks

    Jul 30, 2026Tiangang Li, Xiangbo TianReinforcement Learning Post-TrainingSupervised Fine-Tuning

  18. HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models

    Jul 29, 2026Hei Yi Mak, Shadan Golestan, Hoang Le +10Fp8Low-Precision Formats

  19. Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet

    Jul 27, 2026Eliseo CurcioReinforcement Learning Post-TrainingLarge Language Model Training

  20. Distilled Reinforcement Learning for LLM Post-training

    Jul 19, 2026Chen Wang, Zhaochun Li, Jionghao Bai +4Reinforcement Learning Post-TrainingLarge Language Model Post-Training

  21. Understanding Reasoning from Pretraining to Post-Training

    Jul 17, 2026Jingyan Shen, Ang Li, Salman Rahman +4Large Language Model Post-TrainingLLM Reasoning Methods

  22. Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback

    Jul 15, 2026Patrick Wilhelm, Odej KaoReinforcement Learning Post-TrainingPost-Training

  23. Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals

    Jul 13, 2026Daocheng Fu, Rong Wu, Yu Yang +7Reinforcement Learning Post-TrainingLarge Language Model Post-Training

  24. Reinforcement Learning with Verifiable Physics: Post-training LLMs with Continuous Rewards

    Jul 11, 2026Pengfei Cai, Utkarsh Utkarsh, Alan Edelman +2Verifiable RewardsReinforcement Learning Post-Training

  25. REVA-PO: Stabilizing Reinforcement Learning for Chest X-ray Report Generation

    Jul 11, 2026Li Guo, Anas M. Tahir, Z. Jane WangChest X-Ray Report GenerationChest X-Ray

  26. PAC-ACT: Post-training Actor-Critic for Action Chunking Transformers

    Jul 10, 2026Yujie Pang, Zudong LiAction ChunksSoft Actor-Critic

  27. Learning More from Less: Reinforcement Learning from Hindsight

    Jul 10, 2026Iris Xu, Sunshine Jiang, John Marangola +8Diffusion-Based Vision-Language-ActionsReinforcement Learning Post-Training

  28. RL Post-Training Builds Compositional Reasoning Strategies

    Jul 8, 2026Azwar Abdulsalam, Nishil Patel, Andrew SaxeReinforcement Learning Post-TrainingRewrite

  29. Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment

    Jul 6, 2026Yu Li, Xiuyu Li, Mingyang Yi +4Reinforcement Learning Post-TrainingToken-Level Uncertainty

  30. CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training

    Jul 3, 2026Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge +13D Latent Diffusion ModelComputed Tomography

  31. CLAP: Closed-Loop Training, Evaluation, and Release Control for Domain Agent Post-training

    Jul 2, 2026Fangfei Li, Chenyang Zhao, Long Wang +3Reinforcement Learning Post-TrainingLow-Rank Adapters

  32. The Rollout Infrastructure Tax in Coding-Agent Reinforcement Learning

    Jul 1, 2026Daniel Thi Graviet, Lovre Pesut, Ivan Dagelic +2Coding AgentsRollout

  33. Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

    Jul 1, 2026Zijian Zhang, Rizhen Hu, Athanasios Glentis +4Multi-Layer TransformersReinforcement Learning Post-Training

  34. MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training

    Jun 29, 2026Wenhan Ma, Jianyu Wei, Liang Zhao +10On-Policy DistillationReinforcement Learning Post-Training

  35. The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

    Jun 28, 2026Jing Liang, Hongyao Tang, Yi Ma +9Reinforcement Learning Post-TrainingTraining-Inference Mismatch

  36. Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents

    Jun 24, 2026Changdae Oh, Wendi Li, Seongheon Park +3Reinforcement Learning Post-TrainingLarge Language Model Agents

  37. Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning

    Jun 23, 2026Chenhao Dang, Jing Ma, Mingjie LiaoModel PretrainingReinforcement Learning Post-Training

  38. Learning at the Right Pace: Adaptive Data Scheduling Improves LLM Reinforcement Learning

    Jun 21, 2026Zicheng Xu, Ruixuan Zhang, Yu-Neng Chuang +7Reinforcement Learning Post-TrainingAdaptive Scheduling

  39. World Engine: Towards the Era of Post-Training for Autonomous Driving

    Jun 18, 2026Tianyu Li, Li Chen, Caojun Wang +16Autonomous DrivingNaturalistic Driving Data

  40. Self-Improvement Can Self-Regress: The Rise-and-Collapse Failure Mode of LLM Self-Training

    Jun 17, 2026Jianzhe LinSelf-ImprovementReinforcement Learning Post-Training

  41. Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

    Jun 17, 2026Ruiqi Lai, Dakai An, Wei Gao +6Reinforcement Learning Post-TrainingDiffusion Transformers

  42. LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents

    Jun 16, 2026Haoyang Fang, Wei Zhu, Boran Han +11Reinforcement Learning Post-TrainingExploration-Exploitation Dilemma

  43. STAR: SpatioTemporal Adaptive Reward Allocation for Text-to-Image RL Post-Training

    Jun 16, 2026Jinjie Shen, Wei Deng, Xian Hu +2Text-To-ImageVideo-Text Alignment

  44. Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack

    Jun 12, 2026He Zhang, Lingzhu Xiang, Haitao Lin +23Diffusion-Based Vision-Language-ActionsVision-Language-Action

  45. Select and Improve: Understanding the Mechanics of Post-Training for Reasoning

    Jun 11, 2026Akshay Krishnamurthy, Audrey Huang, Nived RajaramanReinforcement Learning Post-TrainingLarge Reasoning Models

  46. Reformulate LLM Reinforcement Learning for Efficient Training under Black-box Discrepancy

    Jun 7, 2026Jiashun Liu, Runze Liu, Xu Wan +3Training-Inference MismatchReinforcement Learning Post-Training

  47. RL Excursions during Pre-Training: Re-examining Policy Optimization for LLM training

    Jun 2, 2026Rachit Bansal, Clara Mohri, Tian Qin +2Reinforcement Learning Post-TrainingLarge Language Model Training

  48. A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL

    Jun 1, 2026Lei Yang, Siyu Ding, Deyi XiongReinforcement Learning Post-TrainingInterference

  49. Consolidating Rewarded Perturbations for LLM Post-Training

    May 29, 2026Zheyu Zhang, Shuo Yang, Gjergji KasneciLarge Language Model Post-TrainingReinforcement Learning Post-Training

  50. EchoRL: Reinforcement Learning via Rollout Echoing

    May 29, 2026Jinhe Bi, Aniri, Minglai Yang +9Reinforcement Learning Post-TrainingVerifiable Rewards

  51. Distilling LLM Feedback for Lean Theorem Proving

    May 29, 2026Gaetan Narozniak, Gérard Biau, Rémi Munos +2Token-Level SupervisionReinforcement Learning Post-Training

  52. A Predictive Law for On-Policy Self-Distillation From World Feedback

    May 28, 2026Tommy He, Jerome Sieber, Matteo SaponatiUnsupervised On-Policy Self-DistillationReinforcement Learning Post-Training

  53. LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training

    May 28, 2026Minju Gwak, Minseo Kwak, Dongseok Lee +3Reinforcement Learning Post-Training

  54. Label-Free Reinforcement Learning via Cross-Model Entropy

    May 27, 2026Matt Gorbett, Hossein ShiraziReinforcement Learning Post-TrainingVerifiable Rewards

  55. Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning

    May 27, 2026Mingze Wu, Abhinav Anand, Shweta Verma +1AI Code GenerationReinforcement Learning Post-Training

  56. RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data

    May 26, 2026Hsiu-Yuan Huang, Weijie Liu, Chenming Tang +5Verifiable RewardsReinforcement Learning Post-Training

  57. Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models

    May 26, 2026Xiao-Wen Yang, Ziyu Han, Xi-Hua Zhang +4Recurrent ModelLatent Reasoning

  58. Quantifying Empirical Compute-Supervision Tradeoffs in RLVR

    May 24, 2026Ryo Mitsuhashi, Patrick Chen, Isabelle Tseng +2Verifiable RewardsReinforcement Learning Post-Training

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

    May 22, 2026Jade Zou, Tao Huang, Weijie Kong +7Stochastic Differential EquationsReinforcement Learning Post-Training

  60. Value-Gradient Hypothesis of RL for LLMs

    May 20, 2026Arip Asadulaev, Daniil Ognev, Karim Salta +1Reinforcement Learning Post-TrainingPolicy Gradient