LLM Post-Training Methods

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Large Language Model Post-TrainingReinforcement Fine-TuningReinforcement Learning Post-Training

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Period ending 2026-09-21

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235 papers

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  1. 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

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

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

  3. Large Language Models Hack Rewards, and Society

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

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

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

  5. 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

  6. MemTrain: Self-Supervised Context Memory Training

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

  7. A Primer in Post-Training Reasoning Data: What We Know About How It Works

    Jun 1, 2026Yaoming Li, Guangxiang Zhao, Qilong Shi +3Table Reasoning DatasetsLLM Post-Training Methods

  8. Post-Training Recipe, More Than Model Family, Shapes Multi-Agent LLM Conversational Behavior

    May 30, 2026Luyang Zhang, Jialu Wang, Fei Xue +1LLM Post-Training MethodsText Corpora

  9. DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning

    May 30, 2026Limin Yan, Haoyun Tang, Yutao Qiu +2Autonomous DrivingDiffusion Planning

  10. Consolidating Rewarded Perturbations for LLM Post-Training

    May 29, 2026Zheyu Zhang, Shuo Yang, Gjergji KasneciLarge Language Model Post-TrainingProcess Reward Modeling

  11. Are Full Rollouts Necessary for On-Policy Distillation?

    May 29, 2026Yaocheng Zhang, Jiajun Chai, Yuqian Fu +7On-Policy DistillationLong Rollouts

  12. Measuring, Localizing, and Ablating Alignment Signatures in LLMs

    May 28, 2026Aniket Anand, Janvijay Singh, Zhewei Sun +2Large Language Model AlignmentMachine-Generated Text Detection

  13. Representation Collapse in Sequential Post-Training of Large Language Models

    May 28, 2026Yichen Liu, Mingyu Chen, Hao Wang +7Large Language Model Post-TrainingLLM Post-Training Methods

  14. How's it going? Reinforcement learning in language models recruits a functional welfare axis

    May 28, 2026Andy Q Han, David J. Chalmers, Pavel IzmailovLLM Post-Training MethodsPlanar Mazes

  15. Geometry Matters: 3D Foundation Priors for Learning Semantic Correspondence

    May 28, 2026Artur Jesslen, Olaf Dünkel, Adam Kortylewski3D Foundation Models3D Priors

  16. Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models

    May 28, 2026Jaa-Yeon Lee, Yeobin Hong, Taesung Kwon +1Text-To-Image Diffusion ModelsVideo-Text Alignment

  17. Smaller and Faster 3DGS via Post-Training Dictionary Learning

    May 28, 2026Jiarong Gong, Jonas Unger, Ehsan Miandji3D Gaussian SplatsReal3D-Ad Datasets

  18. On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training

    May 28, 2026Xueqing Wu, Yu-Chi Lin, Kai-Wei Chang +1Large Vision Language ModelsVisual Reasoning

  19. Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting

    May 28, 2026Haoxin Liu, Yichen Zhou, Rajat Sen +2Zero-Shot ForecastingTime Series Foundation Models

  20. Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models

    May 28, 2026Qi Liu, Mingdi Sun, Yongyi He +5FinetuningLLM Post-Training Methods

  21. Prompt-Level Reward Specifications for Open-Ended Post-Training

    May 28, 2026Zijun Weng, Xiaohui Hu, Shuangyong Song +3Rubric-Based Reinforcement LearningLLM Post-Training Methods

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

    May 27, 2026Mingze Wu, Abhinav Anand, Shweta Verma +1Code GenerationLLM Post-Training Methods

  23. REED: Post-Training Representation Editing for Cross-Domain Linguistic Steganalysis

    May 27, 2026Ruohan Lei, Jianxin Gao, Wanli Peng +1SteganographyDiscrete Speech Representations

  24. Soft Specialists: αα-Rényi Ensembles for Uncertainty-Aware LLM Post-Training

    May 26, 2026Paula Cordero-Encinar, Georgy Tyukin, Andrew B. DuncanLarge Language Model Post-TrainingLarge Language Model Uncertainty

  25. Training-Inference Kernel Contracts: Bounding Divergence in Post-Training and Deployment

    May 26, 2026Bruce Changlong Xu, Lan WuTraining-Free Inference FrameworkLLM Post-Training Methods

  26. Learning to Adapt SFT Data for Better Reasoning Generalization

    May 26, 2026Lisong Sun, Li Wang, Chen Zhang +4Supervised Fine-TuningLLM Post-Training Methods

  27. Composition Collapse: Stable Factual Knowledge Does Not Imply Compositional Reasoning

    May 26, 2026Zhe Yu, Wenpeng Xing, Yunzhao Wei +4Multi-Hop ReasoningLLM Post-Training Methods

  28. BC Protocol: Structured Dual-Expert Dialogue for Eliciting High-Quality Chain-of-Thought Post-Training Data

    May 25, 2026Bo Zou, Chao XuLarge Language Model Post-TrainingLarge Language Model Reasoning

  29. GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training

    May 25, 2026Yuelin Hu, Zhenbo Yu, Zhengxue Cheng +2Reinforcement Learning Post-TrainingNoise-Aware

  30. DUEL: Adversarial Self-Play for Multimodal Reasoning

    May 24, 2026Lin Qiu, Hanqing Zeng, Yao Liu +3Visual ReasoningSelf-Play

  31. It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt

    May 22, 2026Stuart Bladon, Brinnae BentLarge Language Model BiasIdeology

  32. Post-Training is About States, Not Tokens: A State Distribution View of SFT, RL, and On-Policy Distillation

    May 21, 2026Dong NieLLM Post-Training MethodsSupervised Fine-Tuning

  33. Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

    May 21, 2026Zachary Novack, Stephen Brade, Haven Kim +8Music GenerationConversational Music Recommendation

  34. CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action Models

    May 21, 2026Zhi LiuPretrained Vision-Language-ActionVision-Language-Action Models

  35. Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization

    May 20, 2026Zheyuan Zhang, Kaiwen Shi, Han Bao +3Multi-Objective Policy OptimizationCalibrated Uncertainty

  36. torchtune: PyTorch native post-training library

    May 20, 2026Mark Obozov, Maxime Griot, Joseph Cummings +8PytorchLLM Post-Training Methods

  37. From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models

    May 19, 2026Juncheng Wu, Hardy Chen, Haoqin Tu +6Large Vision Language ModelsVisual Reasoning

  38. GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment

    May 19, 2026Minxuan Lv, Tiehua Mei, Tanlong Du +9Efficient Long-Context InferenceDeep Reinforcement Learning

  39. SafeDiffusion-R1: Online Reward Steering for Safe Diffusion Post-Training

    May 18, 2026Komal Kumar, Ankan Deria, Abhishek Basu +3Text-To-Image Diffusion ModelsGenerative Quality

  40. Semantic Generative Tuning for Unified Multimodal Models

    May 18, 2026Songsong Yu, Yuxin Chen, Ying Shan +1Unified Multimodal ModelsGenerative Models

  41. Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road

    May 16, 2026Ngoc-Hieu Nguyen, Parshin Shojaee, Phuc Minh Nguyen +4Large Reasoning ModelsReasoning Paths

  42. Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training

    May 16, 2026Peng Cui, Boyao Yang, Jun ZhuLLM Post-Training MethodsOnline Data Selection

  43. Convex Dataset Valuation for Post-Training

    May 15, 2026Siqi Zeng, Christopher Jung, Rui Li +7Large Language Model Post-TrainingLLM Post-Training Methods

  44. NavRL++: A System-Level Framework for Improving Sim-to-Real Transfer in Reinforcement Learning-Based Robot Navigation

    May 15, 2026Zhefan Xu, Hanyu Jin, Kenji ShimadaZero-Shot Sim-To-Real TransferSim-To-Real Gap

  45. GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero

    May 14, 2026Shangjian Yin, Yu Fu, Yue Dong +1Reinforcement Learning Post-TrainingReinforcement Learning With Verifiable Reward

  46. Nonlinear Bipolar Compensation: Handling Outliers in Post-Training Quantization

    May 14, 2026Peilin Sun, Jianxin WuWeight-Only QuantizationOutliers

  47. PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation

    May 14, 2026Yidong Huang, Zun Wang, Han Lin +6Human Motion Generation3D Motion

  48. Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models

    May 13, 2026Saba Ahmadi, Prasanna Parthasarathi, Yufei CuiDiffusion Language ModelsLLM Post-Training Methods

  49. The Growing Pains of Frontier Models: When Leaderboards Stop Separating and What to Measure Next

    May 13, 2026Adil AminFrontier ModelsLeaderboard

  50. Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training

    May 12, 2026Chengqian Zhang, Wei Zhu, Kyumin LeeLow-Rank AdaptationFinetuning

  51. SyncDPO: Enhancing Temporal Synchronization in Video-Audio Joint Generation via Preference Learning

    May 12, 2026Xin Cheng, Xihua Wang, Ying Ba +5Joint Audio-Video GenerationSpatio-Temporal Coherence

  52. Boosting Omni-Modal Language Models: Staged Post-Training with Visually Debiased Evaluation

    May 12, 2026Che Liu, Lichao Ma, Xiangyu Tony Zhang +4Omni-ModalVisual Context

  53. On Predicting the Post-training Potential of Pre-trained LLMs

    May 12, 2026Xiaoyuan Li, Yubo Ma, Kexin Yang +5Large Language Model Post-TrainingLLM Post-Training Methods

  54. YFPO: Yoked Feature Preference Optimization with Neuron-Guided Rewards

    May 12, 2026Yifan LeMathematical ReasoningProcess Reward Modeling

  55. Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation

    May 12, 2026Yuchen Cai, Ding Cao, Liang Lin +9On-Policy DistillationLarge Language Model Post-Training

  56. Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping

    May 11, 2026Haoyuan Sun, Jing Wang, Yuxin Song +9Text-To-ImageReinforcement Learning Post-Training

  57. Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models

    May 11, 2026Andreas Bergmeister, Stefanie Jegelka, Nikolas Nüsken +2Reinforcement Learning Post-TrainingReward Gradients

  58. What should post-training optimize? A test-time scaling law perspective

    May 11, 2026Muheng Li, Jian Qian, Wenlong MouLLM Post-Training MethodsTest Time

  59. Annotations Mitigate Post-Training Mode Collapse

    May 11, 2026Jacob Mitchell Springer, Madhu Advani, Lukas Aichberger +7LLM Post-Training MethodsModel Pretraining

  60. Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training

    May 10, 2026Yuanyi Wang, Yifan Yang, Su Lu +9Catastrophic ForgettingLarge Language Model Post-Training