Post-Training

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Period ending 2026-09-21

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  1. Post-training makes large language models less human-like

    May 8, 2026Marcel Binz, Elif Akata, Abdullah Almaatouq +76Large Language Model Post-TrainingLarge Language Model Performance

  2. LiteGUI: Distilling Compact GUI Agents with Reinforcement Learning

    May 8, 2026Yubin Wu, Zicheng Cai, Liping Ning +4Graphical User Interface AgentsAgentic Reinforcement-Learning Framework

  3. Emergent Symbolic Structure in Health Foundation Models: Extraction, Alignment, and Cross-Modal Transfer

    May 8, 2026Gajendra Katuwal, Advait Koparkar, Salar Abbaspourazad +2Electronic Health Record Foundation ModelsMultimodal Foundation Model

  4. Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training

    May 8, 2026Chen Wang, Hexuan Deng, Yining Zhang +5Reasoning TracesRegularization Techniques

  5. Sword: Style-Robust World Models as Simulators via Dynamic Latent Bootstrapping for VLA Policy Post-Training

    May 8, 2026Jiaxuan Gao, Yongjian Guo, Zhong Guan +5Vision-Language-Action ModelsWorld Models

  6. Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models

    May 8, 2026Xiaoze Liu, Dhananjay Ram, Yuting Zhang +3Reinforcement Learning Post-TrainingGroup Relative Policy Optimization

  7. Star Elastic: Many-in-One Reasoning LLMs with Efficient Budget Control

    May 8, 2026Ali Taghibakhshi, Ruisi Cai, Saurav Muralidharan +17Large Language Model Post-TrainingLarge Language Model Reasoning

  8. Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization

    May 8, 2026Yurui Pan, Ke Xu, Bo PengLarge Language Model AlignmentLarge Language Model Post-Training

  9. Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training

    May 8, 2026Pingbang Hu, Xueshen Liu, Z. Morley Mao +1Large Language Model Post-TrainingTraining Data

  10. How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment

    May 7, 2026Rui Zhu, Weiheng Bai, Qiushi Wu +3Key-Value Cache CompressionReinforcement Learning Post-Training

  11. On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR

    May 7, 2026Hao Ye, Jisheng Dang, Junfeng Fang +7Reinforcement Learning With Verifiable RewardReinforcement Learning Post-Training

  12. Navigating by Old Maps: The Pitfalls of Static Mechanistic Localization in LLM Post-Training

    May 7, 2026Hang Chen, Jiaying Zhu, Hongyang Chen +3Large Language Model Post-TrainingCatastrophic Forgetting

  13. Steering Visual Generation in Unified Multimodal Models with Understanding Supervision

    May 7, 2026Zeyu Liu, Zanlin Ni, Yang Yue +5Unified Multimodal ModelsLLM Post-Training Methods

  14. Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training

    May 6, 2026Hengyu Shi, Tianyang Han, Peizhe Wang +3Large Language Model Post-TrainingLLM Post-Training Methods

  15. CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies

    May 6, 2026Keyu Chen, Nanfei Ye, Yida Wang +4Counterfactual RolloutsAutonomous Driving

  16. Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning

    May 6, 2026Lingzhe Zhang, Tong Jia, Yunpeng Zhai +6Reinforcement Fine-TuningLarge Language Model Post-Training

  17. RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models

    May 5, 2026Hao Wu, Yuqi Li, Yuan Gao +10Video World ModelsLLM Post-Training Methods

  18. Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

    May 5, 2026Wenjin Hou, Shangpin Peng, Weinong Wang +13On-Policy DistillationMulti-Teacher Distillation

  19. Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting

    May 4, 2026Ishaan Watts, Catherine Li, Sachin Goyal +2Catastrophic ForgettingLLM Post-Training Methods

  20. TUR-DPO: Topology- and Uncertainty-Aware Direct Preference Optimization

    Apr 30, 2026Abdulhady Abas Abdullah, Fatemeh Daneshfar, Seyedali Mirjalili +1Direct Preference OptimizationLarge Language Model Post-Training

  21. Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization

    Apr 30, 2026YiFeng Wang, Zhun Sun, Keisuke SakaguchiLarge Language Model QuantizationLLM Post-Training Methods

  22. Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training

    Apr 30, 2026Jasmine Brazilek, Juliana SeawellLLM Post-Training MethodsModel Pretraining

  23. Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control

    Apr 29, 2026Bolian Li, Yifan Wang, Yi Ding +3Reinforcement Learning Post-TrainingEntropy Collapse

  24. Backtranslation Augmented Direct Preference Optimization for Neural Machine Translation

    Apr 28, 2026Mehrdad Ghassabi, Spehr Rajabi, Hamidreza Baradaran Kashani +3Neural Machine Translation ModelsLLM Post-Training Methods

  25. A Systematic Post-Train Framework for Video Generation

    Apr 28, 2026Zeyue Xue, Siming Fu, Jie Huang +9Pre-Trained Video Diffusion ModelsLLM Post-Training Methods

  26. Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models

    Apr 27, 2026Dan Shi, Zhuowen Han, Simon Ostermann +3LLM Post-Training Methods

  27. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate

    Apr 27, 2026John Seon Keun Yi, Aaron Mueller, Dokyun LeeMulti-Agent DebateMulti-Agent Large Language Model

  28. Stabilizing Efficient Reasoning with Step-Level Advantage Selection

    Apr 27, 2026Han Wang, Xiaodong Yu, Jialian Wu +4Large Language Model ReasoningLLM Post-Training Methods

  29. Breaking Lock-In: Preserving Steerability under Low-Data VLA Post-Training

    Apr 25, 2026Suning Huang, Jiaqi Shao, Ke Wang +5Vision-Language-Action ModelsFrozen Vision-Language Models

  30. Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning

    Apr 24, 2026Chaoran Chen, Dayu Yuan, Peter KairouzAlgorithm AuditingReinforcement Fine-Tuning

  31. When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning

    Apr 23, 2026Elias Hossain, Mohammad Jahid Ibna Basher, Ivan Garibay +2Offline Reinforcement LearningLLM Post-Training Methods

  32. Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

    Apr 23, 2026Yaxuan Li, Zhongyi Zhou, Yefei Chen +5Efficient World-Action ModelScalable Robot Learning

  33. CAP: Controllable Alignment Prompting for Unlearning in LLMs

    Apr 23, 2026Zhaokun Wang, Jinyu Guo, Jingwen Pu +7Large Language Model UnlearningLarge Language Model Alignment

  34. ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control

    Apr 22, 2026Shelly Golan, Michael Finkelson, Ariel Bereslavsky +2LLM Post-Training Methods

  35. SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models

    Apr 22, 2026Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr +2Reinforcement Learning Post-TrainingVerifiable Rewards

  36. Hybrid Policy Distillation for LLMs

    Apr 22, 2026Wenhong Zhu, Ruobing Xie, Rui Wang +1Knowledge DistillationLarge Language Model Post-Training

  37. Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context

    Apr 22, 2026Yilun Zhu, Yuan Zhuang, Nikhita Vedula +6Quantile RegressionLarge Language Model Quantization

  38. Bootstrapping Post-training Signals for Open-ended Tasks via Rubric-based Self-play on Pre-training Text

    Apr 21, 2026Chengyu Huang, Sheng-Yen Chou, Zhengxin Zhang +1Self-PlayLarge Language Model Post-Training

  39. VLA Foundry: A Unified Framework for Training Vision-Language-Action Models

    Apr 21, 2026Jean Mercat, Sedrick Keh, Kushal Arora +5Vision-Language-Action ModelsReinforcement Fine-Tuning

  40. Rethinking Reinforcement Fine-Tuning in LVLM: Convergence, Reward Decomposition, and Generalization

    Apr 21, 2026Carter Adams, Rafael Oliveira, Gabriel Almeida +1Reinforcement Learning With Verifiable RewardReinforcement Fine-Tuning

  41. Multi-modal Reasoning with LLMs for Visual Semantic Arithmetic

    Apr 21, 2026Chuou Xu, Liya Ji, Qifeng ChenMultimodal ReasoningVisual Semantics

  42. EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training

    Apr 21, 2026Chengjun Pan, Shichun Liu, Jiahang Lin +10Multi-Objective Policy OptimizationSparse Rewards

  43. HP-Edit: A Human-Preference Post-Training Framework for Image Editing

    Apr 21, 2026Fan Li, Chonghuinan Wang, Lina Lei +9Diffusion EditingImage Editing

  44. Generative Texture Filtering

    Apr 21, 2026Rongjia Zheng, Shangwei Huang, Lei Zhu +2Model PretrainingSupervised Fine-Tuning

  45. Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training

    Apr 21, 2026Yunbo Long, Tejumade Afonja, Guangya Hao +2Process Reward ModelingLLM Post-Training Methods

  46. Reasoning Structure Matters for Safety Alignment of Reasoning Models

    Apr 21, 2026Yeonjun In, Wonjoong Kim, Sangwu Park +1Safety AlignmentLarge Reasoning Models

  47. Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts

    Apr 20, 2026Jacob Morrison, Sanjay Adhikesaven, Akshita Bhagia +3Mixture-Of-Expert Language ModelsMixture-of-Experts Models

  48. Post-training is (Massive) Supervised Learning

    Apr 20, 2026Michael Hassid, Yossi Adi, Roy SchwartzLarge Language Model Post-TrainingLLM Post-Training Methods

  49. Characterizing Model-Native Skills

    Apr 19, 2026Feiyang Kang, Mahavir Dabas, Myeongseob Ko +1Model ActivationsLLM Post-Training Methods

  50. OPSDL: On-Policy Self-Distillation for Long-Context Language Models

    Apr 19, 2026Xinsen Zhang, Zhenkai Ding, Tianjun Pan +4Efficient Long-Context InferenceUnsupervised On-Policy Self-Distillation

  51. Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

    Apr 19, 2026Jeongjae Lee, Jinho Chang, Jeongsol Kim +1Score-Based Diffusion ModelTraining-Free Reward Alignment

  52. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions

    Apr 19, 2026Zhiyin Yu, Yuchen Mou, Juncheng Yan +17Reinforcement Learning Post-TrainingData Scarcity

  53. Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning

    Apr 18, 2026Weiyu Ma, Yongcheng Zeng, Yan Song +4Reinforcement Learning Post-Training

  54. Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning

    Apr 18, 2026Benteng Chen, Weida Wang, Shufei Zhang +2Large Reasoning ModelsEarly Stopping

  55. TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning

    Apr 18, 2026Siyang Li, Yize Chen, Zijie Zhu +4Time Series Foundation ModelsMultivariate Forecasting

  56. AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems

    Apr 18, 2026Sumeet Ramesh Motwani, Chuan Du, Aleksander Petrov +4Llm-Based Optimization ModelingWorkflow Generation

  57. Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training

    Apr 17, 2026Moein Salimi, Babak Hosseini Mohtasham, Amin Aghakasiri +6IdeasMulti-Agent Large Language Model

  58. Where does output diversity collapse in post-training?

    Apr 17, 2026Constantinos Karouzos, Xingwei Tan, Nikolaos AletrasDiversityLarge Language Model Post-Training

  59. CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization

    Apr 17, 2026Junyi Li, Yongqiang Chen, Ningning DingLarge Language Model UnlearningLarge Reasoning Models

  60. S-GRPO: Unified Post-Training for Large Vision-Language Models

    Apr 17, 2026Yuming Yan, Kai Tang, Sihong Chen +4Vision-Language Model AdaptationLarge Vision Language Models