Post-Training

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

    Jun 17, 2026Jianzhe LinRecursive Self-ImprovementReinforcement Learning Post-Training

  2. Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines

    Jun 17, 2026Jianzhe Lin, Fei Wang, Xiaolin Li +2Catastrophic ForgettingLLM Post-Training Methods

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

    Jun 17, 2026Nicolas Beltran-Velez, Felix Friedrich, Zhang Xiaofeng +4Training-Free Reward AlignmentHierarchical Flow Matching

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

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

  5. EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts

    Jun 17, 2026Minseo Kim, Minjae Lee, Seunghyuk Oh +7Autoregressive RolloutRollout

  6. 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

  7. Learning from the Self-future: On-policy Self-distillation for dLLMs

    Jun 16, 2026Yifu Luo, Zeyu Chen, Haoyu Wang +4Unsupervised On-Policy Self-DistillationOn-Policy Distillation

  8. 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

  9. Learning task-specific subspaces via interventional post-training of speech foundation models

    Jun 16, 2026Jack Cox, Jon BarkerDiscrete Speech RepresentationsSpeaker Verification Performance

  10. DRIFT: Refining Instruction Data via On-Policy Data Attribution

    Jun 16, 2026Zefan Wang, Lincheng Li, Tianyu Yu +1Supervised Fine-TuningReinforcement Fine-Tuning

  11. Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen?

    Jun 16, 2026Li Gu, Zihuan Jiang, Linqiang Guo +6Graphical User Interface AgentsComputer-Use Agents

  12. PowerOPD: Stabilizing On-Policy Distillation with Bounded Power Transformation

    Jun 15, 2026Anhao Zhao, Junlong Tong, Yingqi Fan +3On-Policy DistillationRp-Opsd

  13. Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes

    Jun 15, 2026Tongyan Fang, Siyuan Huang, Naiyu Fang +6Hierarchical Reinforcement LearningReinforcement Fine-Tuning

  14. How Post-Training Shapes Biological Reasoning Models

    Jun 15, 2026Lukas Fesser, Hanlin Zhang, Michelle M. Li +5BiologicalLarge Reasoning Models

  15. VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models

    Jun 15, 2026Sen Xu, Shixi Liu, Wei Wang +6Small Language ModelsLLM Post-Training Methods

  16. STRIDE: Strategic Trajectory Reasoning via Discriminative Estimation for Verifiable Reinforcement Learning

    Jun 14, 2026Qinjian Zhao, Zhihao Dou, Dinggen Zhang +10Reinforcement Learning With Verifiable RewardVerifiable Rewards

  17. Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift

    Jun 14, 2026Weihang Su, Jiacheng Kang, Jingyan Xu +7Large Language Model Post-TrainingGradient Concentration

  18. Replay What Matters: Off-Policy Replay for Efficient LLM Reinforcement Unlearning

    Jun 13, 2026Zirui Pang, Chenlong Zhang, Haosheng Tan +3Large Language Model UnlearningReinforcement Learning Post-Training

  19. AudioDER: A Deduplication-Enhanced Reasoning Dataset for Post-Training Large Audio-Language Models

    Jun 12, 2026Hui Geng, Yi Su, Han Yin +7Large Audio Language ModelsTable Reasoning Datasets

  20. 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 +23Scalable Robot LearningVision-Language-Action Models

  21. Be My Tutor: On-Policy Co-Distillation for Mutual LLM Improvement via Peer Feedback

    Jun 12, 2026Woohyeon Byeon, Jiwon Jeon, Jeonghye Kim +1On-Policy DistillationIterative Co-Training

  22. OdysSim: Building Foundation Models for Human Behavior Simulation

    Jun 12, 2026Xuhui Zhou, Weiwei Sun, Weihua Du +6User SimulationBehavioral Alignment

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

    Jun 11, 2026Ziqing Wang, Weihao Li, Shijie Chen +2International Classification Of Disease CodesCode Generation

  24. Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning

    Jun 11, 2026Zilin Xiao, Qi Ma, Chun-cheng Jason Chen +4Reinforcement Fine-TuningAnalogy

  25. Modality Forcing for Scalable Spatial Generation

    Jun 11, 2026Bardienus Pieter Duisterhof, Deva Ramanan, Jeffrey Ichnowski +2Large-Scale Image GenerationDense Prediction

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

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

  27. Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs

    Jun 10, 2026Shayan Mohammadizadehsamakosh, Pritam Sarkar, Leonid Sigal +2Large Language Model AlignmentLarge Vision Language Models

  28. Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling

    Jun 10, 2026Yucheng Li, Huiqiang Jiang, Yang Xu +14Reinforcement Learning Post-TrainingDeep Reinforcement Learning

  29. Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal

    Jun 10, 2026Leon Bergen, Usha Bhalla, Sidharth Baskaran +14LLM Post-Training MethodsModel Interpretability

  30. Generalization Hacking: Models Can Game Reinforcement Learning by Preventing Behavioral Generalization

    Jun 10, 2026Frank Xiao, Mary PhuongReinforcement Learning Post-TrainingHacking

  31. LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models

    Jun 10, 2026Yan Hong, Kedong Xiu, Wei Li +6Artifact CorrectionWireless Foundation Models

  32. Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation

    Jun 9, 2026Soham Bhattacharjee, Karun Sharma, Vinay Kumar Sankarapu +1LLM Post-Training MethodsData-Curation

  33. It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO

    Jun 9, 2026Naihao Deng, Yilun Zhu, Naichen Shi +2Large Language Model BiasLarge Language Model Alignment

  34. Optimal Post-Training Quantization Scales and Where to Find Them

    Jun 9, 2026Juan Amboage, Pablo Monteagudo-Lago, Ian Colbert +2Weight-Only QuantizationQuantizer

  35. GUI-AC: Enhancing Continual Learning in GUI Agents

    Jun 9, 2026Can Lin, Tao Feng, Hangjie Yuan +3Graphical User Interface AgentsReinforcement Fine-Tuning

  36. A-Evolve-Training: Autonomous Post-Training of a 30B Model

    Jun 9, 2026Zhan Shi, Bing He, Yisi Sang +2LLM Post-Training MethodsFrontier Models

  37. The Neutral Mask: How Alignment Training Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

    Jun 8, 2026Wendy K. TamLarge Language Model AlignmentReinforcement Learning From Human Feedback

  38. From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning

    Jun 8, 2026Jike Zhong, Yuxiang Lai, Ming Li +5Theory-Of-Mind ReasoningReinforcement Fine-Tuning

  39. Stabilizing On-Policy Distillation for MLLM Reasoning with Global Normalization

    Jun 8, 2026Dongze Hao, Zhiwei Jin, Chen Chen +1On-Policy DistillationLLM Post-Training Methods

  40. 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

  41. PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation

    Jun 7, 2026Lingxuan Wu, Zijian Zhu, Lizhong Wang +5Diffusion PoliciesSafety Constraints

  42. TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models

    Jun 5, 2026Chengkai Zhang, Ziteng Liu, Junpu Wang +4LLM Post-Training Methods

  43. TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization

    Jun 4, 2026Liting Zhang, Shiwan Zhao, Xuyang Zhao +3Efficient Latent ReasoningLarge Language Model Post-Training

  44. FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models

    Jun 4, 2026Haoyu Huang, Linlin Yang, Sheng Xu +5Weight-Only QuantizationLarge Language Model Post-Training

  45. FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization

    Jun 3, 2026Yihao Wu, He Zhang, Junbo Tan +2Flow-Matching Vision-Language-ActionReinforcement Fine-Tuning

  46. Failed Reasoning Traces Tell You What Is Fixable (But Not by Reading Them)

    Jun 3, 2026Nizar Islah, Istabrak Abbes, Irina Rish +2Reasoning FailuresReasoning Traces

  47. Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning

    Jun 3, 2026Yu Zhu, Yongkang Li, Wenjie Zhu +5Non-Destructive Frying Oil Oxidation AssessmentNutrient Reasoning

  48. Sequential Data Poisoning in LLM Post-Training

    Jun 3, 2026Jack Sanderson, Yihan Wang, Xiaoqian Lu +2Large Language Model Post-TrainingLanguage Model Evasion Attacks

  49. Rethinking Continual Experience Internalization for Self-Evolving LLM Agents

    Jun 3, 2026Jingwen Chen, Wenkai Yang, Shengda Fan +7InternalizationExperience

  50. Learning What to Learn: Stage-Specific Data Sets for SFT-then-RL in Small Language Model Reasoning

    Jun 3, 2026Chongyang He, Rui Zhang, Zixuan Wang +1Large Language Model ReasoningSmall Language Models

  51. Large Language Models Hack Rewards, and Society

    Jun 2, 2026Wei Liu, Xinyi Mou, Hanqi Yan +2Large Language Model SafetyRegulation

  52. MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning

    Jun 2, 2026Letian Chen, Yiren Lu, Justin Fu +5Autonomous DrivingReinforcement Fine-Tuning

  53. Conformal Language Modeling via Posterior Sampling

    Jun 2, 2026Nicolas Emmenegger, Theo X. Olausson, Armando Solar-Lezama +1Large Language Model GenerationLarge Language Model Post-Training

  54. Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression

    Jun 2, 2026Artur Zagitov, Alexander Miasnikov, Maxim Krutikov +5Large Language Model CompressionTensor Programs

  55. Calibration Data Trade-offs Across Capability Dimensions: Why Multi-Source Mixing Matters for High-Sparsity LLM Pruning

    Jun 2, 2026Hu Xu, Zhaolong Xing, Congcong Liu +5Large Language Model Post-TrainingMulticalibration and Calibration

  56. PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training

    Jun 2, 2026Zelun Zhang, Hongen Liu, Suyin Liang +12Visual Document RetrievalLLM Post-Training Methods

  57. MemTrain: Self-Supervised Context Memory Training

    Jun 2, 2026Ziheng Li, Xingrun Xing, Haoqing Wang +2Agent MemoryLarge Language Model Agents

  58. Libra: Efficient Resource Management for Agentic RL Post-Training

    Jun 2, 2026Kaiwen Chen, Xin Tan, Jingzong Li +6Agentic Reinforcement-Learning FrameworkReinforcement Learning Post-Training

  59. 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

  60. Towards Precise Intent-Aligned VLA Aerial Navigation via Expert-Guided GRPO

    Jun 1, 2026Tianyang Chen, Wenjun Li, Xin zhou +2Aerial Vision-Language NavigationVision-Language-Action Models