Post-Training

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Period ending 2026-09-21

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  1. When Quantization Preserves Accuracy but Not Evidence: Explanation-Aware Post-Training Quantization for Medical LLMs

    Sep 21, 2026Yeji Kim, Mi-Young Kim, Randy GoebelLarge Language Model Post-TrainingClinical Reasoning

  2. SupportCal: Label-Free Calibration of Post-Trained LLMs via Reference Support and Corroboration

    Sep 21, 2026Linhan Luo, Lequan Lin, Dai Shi +3Large Language Model Post-Training

  3. OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher

    Sep 17, 2026Damiano Da Col, Maximilian Igl, Peter Karkus +5Autonomous DrivingReinforcement Learning Post-Training

  4. HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface

    Sep 17, 2026Zimu Han, Yiming Zeng, Jiyao Zhang +9Vision-Language-Action ModelsHuman-In-The-Loop

  5. Stress-testing Alignment Midtraining

    Sep 17, 2026Sid Baines, Jonathan Bostock, Maria Angelica Martinez +3LLM Post-Training MethodsFrontier Models

  6. CellRFT: Reinforcement Fine-Tuning for Single-Cell Perturbation Modeling

    Sep 17, 2026Jie Yan, Li Liu, Hanze Guo +7Single-Cell Perturbation PredictionReinforcement Fine-Tuning

  7. Towards High-DoF Dexterous Manipulation through VLA Post-Training

    Sep 17, 2026Junlei Zhu, Shenzhe Yao, Chaogui Huang +6Vision-Language-Action ModelsDexterous Manipulation

  8. Compositional Reasoning in Language Models under Reinforcement Learning Post-Training

    Sep 16, 2026Yu He, Yingxi Li, Yifei Wang +1Reinforcement Learning Post-TrainingMulti--Task Learning

  9. A Zeroth-Order Paradigm for LLM Preference Alignment

    Sep 16, 2026Peter Chen, Xi Chen, Wotao Yin +1Preference AlignmentLarge Language Model Post-Training

  10. Reinforcement Learning for Real-Time Vision-Language-Action Policies

    Sep 16, 2026Perry Dong, Kuo-Han Hung, Dorsa Sadigh +1Vision-Language-Action ModelsReinforcement Fine-Tuning

  11. Channel-Wise and Token-Aware Post-Training Quantization for Visual State Space Duality

    Sep 15, 2026Jonghyeon Lim, Changhoon YimWeight-Only QuantizationQuantization

  12. ReDraft, Don't Just Distill: Reference-Driven Revision for Continual VLLM Post-Training

    Sep 15, 2026Zhihao Zhang, Mingqi Wu, Qiaole Dong +15Large Language Model Post-TrainingMulti-Modal Large Language Models

  13. Style-Debiased DPO: Updating LLM Knowledge with Factuality-Aware Synthetic Preference Data

    Sep 15, 2026Takayuki Yamamoto, Daisuke KawaharaLarge Language Model Post-TrainingMultimodal Knowledge Editing

  14. Where Post-Training Quantization Breaks Text Embedders: A Measured Map Across Four Embedder Families

    Sep 14, 2026Hyojung HanWeight-Only QuantizationLarge Language Model Quantization

  15. StalePO: Anchored Token-Level Preference Optimization using Legacy Post-Edits in Machine Translation

    Sep 14, 2026Rohit Dhaipule, Sukhdeep Singh Kharbanda, Prasanth Bathala +2Translation QualityLarge Language Model Post-Training

  16. Inoculation Midtraining with Learned Neologisms

    Sep 14, 2026Kyle O'Brien, Edward James Young, Puria Radmard +4Large Language Model SafetyLarge Language Model Post-Training

  17. STAR: Sparse Tactile Representation Learning in Vision-Tactile-Language-Action Models for Dexterous Manipulation

    Sep 14, 2026Xiangcheng Liu, Tianhao Wu, Le Zheng +6Generalizable Robotic ManipulationsDexterous Manipulation

  18. Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models

    Sep 14, 2026Yuxin Xiao, Sheng Zhang, Chandan Singh +4Electronic Health Record Foundation ModelsElectronic Health Records

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

    Sep 14, 2026Abhinav Anand, Sanjana Reddy Pachika, Shweta Verma +1LLM Post-Training MethodsLarge Language

  20. Forty Shades of Blue: Quality-Diversity Alignment via Mode-Conditioned Reinforcement Learning

    Sep 14, 2026Jiayi Yuan, Hangoo Kang, James Jihao Liu +4DiversityLarge Language Model Alignment

  21. Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition

    Sep 13, 2026Yecheng Wu, Song Han, Han CaiLarge Reasoning ModelsEfficient Inference

  22. LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation

    Sep 12, 2026Dongfang ZhaoLarge Language Model Post-TrainingLLM Post-Training Methods

  23. Post-Training Zero-Shot TTS for Fine-Grained Emotion and Duration Control via Natural Language

    Sep 11, 2026Lianru Gao, Yujie Guo, Yong QinZero-Shot Text-To-SpeechEmotion Recognition

  24. Scaling Post-Training Ternarisation to Qwen3-8B Capability Retention, Reproduction, Lossless Packing, and Packed Execution

    Sep 10, 2026Anirudh Malik, M Sparsh Mehra, Poojith DevanLarge ModelsQwen3

  25. Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable Learning

    Sep 9, 2026Zhirayr Hayrapetyan, Andrei Kalmykov, Denis Kokosinskii +2Finance DomainSupervised Fine-Tuning

  26. Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training

    Sep 9, 2026Junwon Ko, Dong-Jae Lee, Minchan Kwon +2LLM Post-Training MethodsDirect Preference Optimization

  27. Training-Free Task Vectors for LLM Behavioral Control

    Sep 8, 2026Gabriel J. Perin, Lucas Boscaini, André Araujo +1Activation SteeringLLM Post-Training Methods

  28. Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation

    Sep 8, 2026Youngrok Park, Sangmin Bae, Hojung Jung +6On-Policy DistillationMulti-Teacher Distillation

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

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

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

    Sep 8, 2026NeoHorse Team, Guoliang Cao, Guohao Dai +34Agentic Reinforcement-Learning FrameworkReinforcement Learning Post-Training

  31. Router Prior Bias: Preserving Base Routing Structure in MoE Post-Training

    Sep 8, 2026Jaedeok Lee, Keonwoo Kim, Dongyoon Han +3Mixture-of-Experts ModelsLLM Post-Training Methods

  32. Risk-Conditioned Fine-Tuning of Large Language Models

    Sep 8, 2026Zixuan Liu, Fangzheng Wu, Brian Summa +1Large Language Model SafetyReinforcement Fine-Tuning

  33. Train What You Deploy:Token-Faithful Post-Training of a Production Coding

    Sep 7, 2026Cheng Li, Jiexiong Liu, Yixuan Chen +1LLM Post-Training MethodsProximal Policy Optimization

  34. Extremely Sparse Supervision Incentivizes Reasoning Ability

    Sep 7, 2026Zhishuai Liu, Xingzi Xu, Mehmet Saygin Seyfioglu +2Token-Level SupervisionLarge Language Model Post-Training

  35. Beyond Shallow Alignment: How Post-Training Methods Determine Refusal Circuits And Steering Robustness

    Sep 3, 2026Hoang Cuong Nguyen, Mark Dras, Usman NaseemRefusalsLarge Language Model Alignment

  36. Post-Training Ternarization of Qwen3-4B Capability, Effective Bit Budget, Storage Compression, and Deployment

    Sep 2, 2026Anirudh Malik, M Sparsh Mehra, Poojith DevanQwen3Context Compression

  37. SCULPT: Training Edge Vision Models for Post-Training Quantization Readiness

    Sep 1, 2026Bharadwaj Kavuri, Sourav Babu-PK, Varadhraj Ellapan +2Weight-Only QuantizationQuantization

  38. From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix

    Sep 1, 2026Olga Tsymboi, Dmitrii Stoianov, Ramil Latypov +11Large Language Model ServingLLM Post-Training Methods

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

    Sep 1, 2026Yifei Li, Lingling Zhang, Muye Huang +3Large Language Model Post-TrainingLLM Post-Training Methods

  40. Post-Training Science for Supervised Fine-Tuning

    Sep 1, 2026Charles O'Neill, Mudith Jayasekara, Harry PartridgeSupervised Fine-TuningLLM Post-Training Methods

  41. Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO

    Sep 1, 2026Prakhar Gupta, Vaibhav GuptaLLM Post-Training MethodsSupervised Fine-Tuning

  42. VerNav: Verifier-First Low-Latency Vision-and-Language Navigation

    Sep 1, 2026Zhixin Wang, Chengzheyi Yao, Leyuan Liu +2Vision-Language NavigationReinforcement Fine-Tuning

  43. CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training

    Sep 1, 2026Siyuan Li, Xinxin Song, Chen Ruinian +5Rubric-Based Reinforcement LearningRubrics

  44. LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

    Aug 31, 2026Gopi Krishnan Rajbahadur, Amir M. Ebrahimi, Boyuan Chen +1LLM Post-Training MethodsTraining Data

  45. When Does Predictor-Based RL Align with Human Perception? A Study of Subjective Rewards in Codec-Based Speech Language Models

    Aug 31, 2026Joonyong Park, Jerry LiTraining-Free Reward AlignmentGroup Relative Policy Optimization

  46. Learning from What You Retrieve: Online RL Fine-Tuning for Semantic Retrieval

    Aug 31, 2026Shaowei Wei, Chong Huang, Songtao Fang +3Reinforcement Fine-TuningInformation Retrieval Metrics

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

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

  48. InspectorGPT: A Comparative Reasoning Enhanced VLM for Comprehensive Industrial Anomaly Detection

    Aug 30, 2026Weifei Chen, Honghao Zhang, Zhiyuan You +1Zero-Shot Anomaly DetectionDetection Framework

  49. Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow

    Aug 30, 2026Hoseong Hwang, Woorim Han, Joungin Chun +2Wasserstein Gradient FlowsReward Gradients

  50. DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data

    Aug 13, 2026Peter Schneider-Kamp, Jacob Nielsen, Gianluca Barmina +2Large LanguageLLM Post-Training Methods

  51. Intern-S2-Preview: Scientific Agentic Foundation Model

    Aug 13, 2026Lei Bai, Jiaqi Cao, Chiyu Chen +122Multimodal Foundation ModelAgentic Reinforcement-Learning Framework

  52. Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL

    Aug 12, 2026Minglai Yang, Xinyu Guo, Utkarsh Tyagi +6Rubric-Based Reinforcement LearningRubrics

  53. CARE: Confidence-Aware Reasoning for Reliable Medical VQA

    Aug 11, 2026Yuetian Du, Yucheng Wang, Zhenyuan Chen +9Medical Visual Question AnsweringClinical Reasoning

  54. 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-TrainingRobot Failures

  55. Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation

    Aug 11, 2026Chris Han, Pengzhi Gao, Pei Fu +1Large Language Model Post-TrainingLLM Post-Training Methods

  56. Calibrating Post-Training Feature Shifts for LLM Data Contamination Detection

    Aug 11, 2026Zhen Yang, Mengqi Wang, Gengda Zhao +3Large Language Model Post-TrainingContamination

  57. Evaluation-Conditioned Training: Teaching Models to Generalize to Stronger Oversight Regimes

    Aug 10, 2026Alec Harris, Kasey Corra, Archie Chaudhury +1Large Language Model Post-TrainingLarge Language Model Evaluation

  58. Decoding-Level Taboo: A Diagnostic Stress Test for LLM Robustness

    Aug 10, 2026Tadanobu Chuyo Kamijo, Ori Rottenstreich, Javier Conde +2Large Language Model SafetyLarge Language Model Evaluation

  59. 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

  60. 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