Process Reward Modeling

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7 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Also in External Reward Models

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External Reward ModelsSparse RewardsReward ModelingPotential-Based Reward ShapingOutcome-Based RewardsReasoning-Aware RewardShared Rewards

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Period ending 2026-09-21

1 new paper

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Period ending 2026-09-14

1 new paper

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Period ending 2026-09-07

5 new papers

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92 papers

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  1. DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading

    May 25, 2026Sayak Charabarty, Souradip PalPolicy GradientOrder

  2. Token-weighted Direct Preference Optimization with Attention

    May 21, 2026Chengyu Huang, Zhuohang Li, Sheng-Yen Chou +1Direct Preference OptimizationLarge Language Model Post-Training

  3. Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression

    May 20, 2026Jungsoo Park, Hyungjoo Chae, Ethan Mendes +4Process Reward ModelingLarge Language Model Post-Training

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

    May 12, 2026Yifan LeMathematical ReasoningProcess Reward Modeling

  5. Variance-aware Reward Modeling with Anchor Guidance

    May 12, 2026Shuxing Fang, Ruijian Han, Liangyu Zhang +1Process Reward ModelingPairwise Preferences

  6. From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation

    May 12, 2026Guobin Shen, Lei Huang, Xiang Cheng +4Unsupervised On-Policy Self-DistillationOn-Policy Distillation

  7. Equilibrium Residuals Expose Three Regimes of Matrix-Game Strategic Reasoning in Language Models

    May 11, 2026Wenhua Nie, Binhan Luo, Zijie Meng +2Imperfect-Information GamesEquilibrium

  8. Preference Instability in Reward Models: Detection and Mitigation via Sparse Autoencoders

    May 7, 2026Shunchang Liu, Xin Chen, Belen Martin Urcelay +1Preference LearningProcess Reward Modeling

  9. StoryAlign: Evaluating and Training Reward Models for Story Generation

    May 6, 2026Haotian Xia, Hao Peng, Yunjia Qi +4Llm-Generated StoriesNarratives

  10. EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics

    May 5, 2026Shuyue Stella Li, Rui Xin, Teng Xiao +8Large Language Model EvaluationRubrics

  11. Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring

    May 1, 2026Indraneil Paul, Goran Glavaš, Iryna GurevychProcess Reward ModelingTest-Time Scaling

  12. PrefMoE: Robust Preference Modeling with Mixture-of-Experts Reward Learning

    May 1, 2026Ziqin Yuan, Ruiqi Wang, Dezhong Zhao +2Process Reward Modeling

  13. From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks

    Apr 30, 2026Qingyu Ren, Tianjun Pan, Xingzhou Chen +1Process Reward ModelingAi-Assisted Writing

  14. reward-lens: A Mechanistic Interpretability Library for Reward Models

    Apr 28, 2026Mohammed Suhail B NadafProcess Reward ModelingMechanistic Interpretability

  15. Reward Models Are Secretly Value Functions: Temporally Coherent Reward Modeling

    Apr 24, 2026Alex NikulkovProcess Reward ModelingValue Functions

  16. Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback

    Apr 21, 2026Qiang Liu, Adrienne Kline, Ermin WeiReinforcement Learning From Human FeedbackDeep Reinforcement Learning

  17. 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

  18. PARM: Pipeline-Adapted Reward Model

    Apr 20, 2026Xingyu Fan, Wei Shao, Jiacheng Liu +2Process Reward ModelingLarge Language Model Pipelines

  19. Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the Winner

    Apr 20, 2026Wei Chen, Yubing Wu, Junmei Yang +5Process Reward ModelingIncentives

  20. Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards

    Apr 20, 2026Raffaele Pisano, Roberto NavigliTable Reasoning DatasetsProcess Reward Modeling

  21. Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models

    Apr 16, 2026Yifu Chen, Shengpeng Ji, Zhengqing Liu +6Process Reward ModelingTurn-Taking

  22. Relational Preference Encoding in Looped Transformer Internal States

    Apr 10, 2026Jan KirinPairwise PreferencesTransformer Encoder

  23. LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement

    Mar 14, 2026Chih-Ning Chen, Jen-Cheng Hou, Hsin-Min Wang +3Speech EnhancementLarge Audio Language Models

  24. GRRM: Group Relative Reward Modeling for Machine Translation

    Feb 15, 2026Sen Yang, Shanbo Cheng, Lu Xu +2Machine Translation QualityMachine Translation

  25. Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models

    Feb 7, 2026Yankai Yang, Yancheng Long, Hongyang Wei +12Process Reward ModelingReward Modeling

  26. Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis

    Jan 31, 2026Zicheng Kong, Dehua Ma, Zhenbo Xu +9Process Reward Modeling

  27. P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist

    Jan 6, 2026Kwangwook Seo, Dongha LeeProcess Reward ModelingHuman Judgment

  28. ScalePRM: Training Process Reward Models by Scaling Verification Compute Without Ground Truth

    Dec 2, 2025Salman Rahman, Sruthi Gorantla, Arpit Gupta +3Reliable Medical Process-Level Reward Model Evaluation FrameworkProcess Reward Modeling

  29. Who Gets the Reward & Who Gets the Blame? Evaluation-Aligned Training Signals for Multi-LLM Agents

    Nov 11, 2025Chih-Hsuan, Yang, Tanwi Mallick +5Multi-Agent Large Language ModelProcess Reward Modeling

  30. OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning

    Oct 28, 2025Ziyou Hu, Zhengliang Shi, Minghang Zhu +5Process Reward ModelingLarge Language Model Evaluation

  31. R3: Robust Rubric-Agnostic Reward Models

    May 19, 2025David Anugraha, Zilu Tang, Lester James V. Miranda +5Process Reward Modeling

  32. AgentRM: Enhancing Agent Generalization with Reward Modeling

    Feb 25, 2025Yu Xia, Jingru Fan, Weize Chen +7Agentic Reinforcement-Learning FrameworkLlm-Based Agent