Post-Training

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Period ending 2026-09-21

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  1. Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning

    Apr 17, 2026Xiaoyu Yang, En Yu, Wei Duan +1Reinforcement Fine-TuningCounterfactual Rollouts

  2. Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO

    Apr 17, 2026Arash Ahmadi, Parisa Masnadi, Sarah Sharif +3Large Language Model Post-TrainingRubric-Based Reinforcement Learning

  3. GroupDPO: Memory-Efficient Group-Wise Direct Preference Optimization

    Apr 17, 2026Jixuan Leng, Si Si, Hsiang-Fu Yu +2Direct Preference OptimizationLarge Language Model Post-Training

  4. When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence

    Apr 16, 2026Marcus ArmstrongQuantizationLLM Post-Training Methods

  5. Discovering Novel LLM Experts via Task-Capability Coevolution

    Apr 16, 2026Andrew Dai, Boris Meinardus, Ciaran Regan +2Co-EvolutionLarge Language

  6. Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem

    Apr 16, 2026Zeguan Xiao, Siqing Li, Yong Wang +4Large Language Model UnlearningLarge Language Model Post-Training

  7. CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge

    Apr 16, 2026Seyun Bae, Seokhan Lee, Eunho YangLarge Language Model UnlearningLarge Language Model Post-Training

  8. Robust Ultra Low-Bit Post-Training Quantization via Stable Diagonal Curvature Estimate

    Apr 15, 2026Jaemin Kim, Sungkyun Kim, Junyeol Lee +1Weight-Only QuantizationQuantization

  9. Policy Improvement Reinforcement Learning

    Apr 1, 2026Huaiyang Wang, Xiaojie Li, Xiaohan Wang +10Reinforcement Learning Post-TrainingMulti-Objective Policy Optimization

  10. Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models

    Mar 13, 2026David McAllister, Miika Aittala, Tero Karras +4Text-To-Image Diffusion ModelsReinforcement Learning Post-Training

  11. From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

    Mar 10, 2026Zhanyi Sun, Shuran SongRobot PoliciesReinforcement Fine-Tuning

  12. Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data

    Mar 10, 2026Hyunji Nam, Haoran Li, Natasha JaquesLarge Language Model Post-TrainingLarge Language Model Performance

  13. When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On

    Mar 5, 2026Wisdom Ikezogwo, Mehmet Saygin Seyfioglu, Ranjay Krishna +1Rubric-Based Reinforcement LearningRubrics

  14. Patch the Distribution Mismatch: RL Rewriting Agent for Stable Off-Policy SFT

    Feb 11, 2026Jiacheng Wang, Zhijie Liu, Ping Jian +4Supervised Fine-TuningRewrite

  15. QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning

    Feb 4, 2026Doyeon Lee, Eunyi Lyou, Hyunsoo Cho +3Reinforcement Fine-TuningLarge Language Model Fine-Tuning

  16. PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards

    Feb 2, 2026Minh-Quan Le, Gaurav Mittal, Cheng Zhao +3Text-To-Video ModelsVideo-Text Alignment

  17. Thinking Seeds: Leveraging Historical Diversity for Position-Aware RL in LLMs

    Jan 29, 2026Lei Yang, Wei Bi, Chenxi Sun +2Large Language Model Post-TrainingToken-Level Uncertainty

  18. Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models

    Jan 21, 2026Injin Kong, Hyoungjoon Lee, Yohan JoMasked Diffusion Language ModelsDiffusion Language Models

  19. Understanding Reward Hacking in Text-to-Image Reinforcement Learning

    Jan 6, 2026Yunqi Hong, Kuei-Chun Kao, Hengguang Zhou +1Text-To-ImageOutcome-Based Rewards

  20. Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics

    Dec 15, 2025Enshen Zhou, Yibo Li, Jingkun An +12Robotic PerceptionRobotics

  21. Value Drifts: Tracing Value Alignment During LLM Post-Training

    Oct 30, 2025Mehar Bhatia, Shravan Nayak, Gaurav Kamath +4Large Language Model AlignmentLarge Language Model Post-Training

  22. A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning

    Oct 21, 2025Mengqi Li, Lei Zhao, Anthony Man-Cho So +2Large Language Model ReasoningSelf-Training

  23. Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging

    Oct 20, 2025Tiancheng Hu, Benjamin Minixhofer, Nigel CollierValue AlignmentLLM Post-Training Methods

  24. Strengthening LLMs for Tabular Prediction with Structural Priors

    Oct 20, 2025Pengxiang Cai, Zihao Gao, Wanchen Lian +2Tabular LearningLarge Language Model Post-Training

  25. SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

    Oct 14, 2025Weiyang Jin, Yuwei Niu, Jiaqi Liao +4Unified Multimodal ModelsVisual Reasoning

  26. Representation-Based Exploration for Language Models: From Test-Time to Post-Training

    Oct 13, 2025Jens Tuyls, Dylan J. Foster, Akshay Krishnamurthy +1LLM Post-Training MethodsAutonomous Exploration Strategies

  27. Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models

    Oct 11, 2025Mingyang Lyu, Yinqian Sun, Erliang Lin +4Flow-Matching Vision-Language-ActionReinforcement Fine-Tuning

  28. BaNEL: Exploration Posteriors for Generative Modeling Using Only Negative Rewards

    Oct 10, 2025Sangyun Lee, Brandon Amos, Giulia FantiGenerative ModelsPosterior

  29. TripScore: Aligning LLMs for Real-World Travel Planning via Expert-Calibrated Reward

    Oct 10, 2025Yincen Qu, Huan Xiao, Feng Li +5TourHuman-Annotated Benchmark

  30. Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization

    Oct 9, 2025Yuchen Zhu, Wei Guo, Jaemoo Choi +4Large Language Model ReasoningDiffusion Language Models

  31. Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning

    Oct 6, 2025Kai Qin, Jiaqi Wu, Jianxiang He +8Large Language Model UnlearningLarge Language Model Post-Training

  32. The Three Regimes of Offline-to-Online Reinforcement Learning

    Oct 1, 2025Lu Li, Tianwei Ni, Yihao Sun +1Offline Reinforcement LearningReinforcement Fine-Tuning

  33. Reconstruction Alignment Improves Unified Multimodal Models

    Sep 8, 2025Ji Xie, Trevor Darrell, Luke Zettlemoyer +1Unified Multimodal ModelsLLM Post-Training Methods

  34. Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Guidance with Proxy Constraint

    Aug 28, 2025Zhihao Liu, Jian Lou, Yuke Hu +6Large Language Model UnlearningLarge Language Model Post-Training

  35. Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts

    Aug 13, 2025Maxime Heuillet, Yufei Cui, Boxing Chen +2Reinforcement Fine-TuningLarge Language Model Fine-Tuning

  36. Post-training for Efficient Communication via Convention Formation

    Aug 8, 2025Yilun Hua, Evan Wang, Yoav ArtziLarge Language Model Post-TrainingMulti-Turn Interactions

  37. Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

    Jul 29, 2025Carel van Niekerk, Renato Vukovic, Benjamin Ruppik +3Large Language Model Post-TrainingLarge Language Model Reasoning

  38. Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training

    Jul 7, 2025Song Lai, Haohan Zhao, Rong Feng +9LLM Post-Training MethodsReinforcement Fine-Tuning

  39. Reinforcement Learning from Human Feedback

    Apr 16, 2025Nathan LambertReinforcement Learning From Human FeedbackLLM Post-Training Methods

  40. Dual-Difficulty Curriculum Learning for Direct Preference Optimization

    Apr 10, 2025Mengyang Li, Haozhan Geng, Zhong Zhang +1Large Language Model AlignmentDirect Preference Optimization

  41. Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

    Apr 7, 2025Taiwei Shi, Yiyang Wu, Linxin Song +2Reinforcement Fine-TuningCurriculum

  42. Unified Text-Image Generation with Weakness-Targeted Post-Training

    Date pendingJiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han +7Text-To-ImageMultimodal Generation

  43. TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards

    Date pendingMingxuan Cui, Jingpu Yang, Fengxian Ji +7Video-Text AlignmentTypography Generation

  44. AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

    Date pendingZhenyu Han, Ansheng You, Haibo Wang +16Asynchronous ExecutionLLM Post-Training Methods

  45. Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models

    Date pendingArthur Negrão, Pedro Silva, Vander L. S. Freitas +2QuantizationLLM Post-Training Methods

  46. Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs

    Date pendingXingwei Gan, Ying ZhuGroup Relative Policy OptimizationReinforcement Learning Post-Training