External Reward Models

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Period ending 2026-09-21

12 new papers

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Period ending 2026-09-14

3 new papers

A weekly snapshot of new work published in External Reward Models.

Period ending 2026-09-07

9 new papers

A weekly snapshot of new work published in External Reward Models.

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332 papers

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  1. MARS2^2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation

    Apr 16, 2026Pengfei Li, Shijie Wang, Fangyuan Li +7Tree SearchPotential-Based Reward Shaping

  2. When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs

    Apr 11, 2026Jose Efraim Aguilar Escamilla, Haoyang Hong, Jiawei Li +4Reward ModelingMarkov Decision Processes

  3. Relational Preference Encoding in Looped Transformer Internal States

    Apr 10, 2026Jan KirinPairwise PreferencesTransformer Encoder

  4. VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment

    Mar 17, 2026Tengjiao Yin, Jinglei Shi, Heng Guo +1Pre-Trained Video Diffusion ModelsExternal Reward Models

  5. 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

  6. ZeroWBC: Learning Natural Whole-Body Humanoid Interaction from Human Egocentric Data

    Mar 10, 2026Haoran Yang, Jiacheng Bao, Yucheng Xin +5TeleoperationEgocentric Dataset

  7. MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling

    Feb 19, 2026Payel Bhattacharjee, Osvaldo Simeone, Ravi TandonReward ModelingSynthetic Data Augmentation

  8. GRRM: Group Relative Reward Modeling for Machine Translation

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

  9. Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation

    Feb 10, 2026Pei-Chi Pan, Yingbin Liang, Sen LinLarge Language Model ReasoningReward Modeling

  10. GR2: Generative Reasoning Re-ranker

    Feb 8, 2026Mingfu Liang, Yufei Li, Jay Xu +20RerankingSequential Recommendation

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

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

  12. Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO

    Feb 6, 2026Yunze Tong, Mushui Liu, Canyu Zhao +7Generative Flow NetworksFlow-Grpo

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

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

  14. Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning

    Jan 29, 2026Bang Giang Le, Viet Cuong TaMulti-Agent Reinforcement LearningCredit Assignment

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

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

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

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

  17. Multi-dimensional Preference Alignment by Conditioning Reward Itself

    Dec 11, 2025Jiho Jang, Jinyoung Kim, Kyungjune Baek +1Training-Free Reward AlignmentPreference Alignment

  18. 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

  19. 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

  20. 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

  21. CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts

    Oct 10, 2025Jiuheng Lin, Cong Jiang, Zirui Wu +2Reasoning-Aware RewardDeep Reinforcement Learning

  22. TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance

    Oct 9, 2025Jianhui Yang, Yiming Jin, Pengkun Jiao +6RelevanceAgentic Commerce

  23. Rethinking Reward Models for Multi-Domain Test-Time Scaling

    Oct 1, 2025Dong Bok Lee, Seanie Lee, Sangwoo Park +12Reasoning-Aware RewardTest-Time Scaling

  24. Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation

    Sep 25, 2025Jinbang Huang, Zhiyuan Li, Yuanzhao Hu +4Robot PlanningExternal Reward Models

  25. A Technical Survey of Reinforcement Learning Techniques for Large Language Models

    Jul 5, 2025Saksham Sahai Srivastava, Vaneet AggarwalReinforcement Learning From Human FeedbackDeep Reinforcement Learning

  26. MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning

    May 30, 2025Jingyan Shen, Jiarui Yao, Rui Yang +5External Reward ModelsMixture Models

  27. R3: Robust Rubric-Agnostic Reward Models

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

  28. Reward-Centered ReST-MCTS: A Robust Decision-Making Framework for Robotic Manipulation in High Uncertainty Environments

    Mar 7, 2025Xibai WangReward ModelingAction Selection

  29. AgentRM: Enhancing Agent Generalization with Reward Modeling

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

  30. Leader Reward for POMO-Based Neural Combinatorial Optimization

    May 22, 2024Chaoyang Wang, Pengzhi Cheng, Jingze Li +1Combinatorial OptimizationShared Rewards

  31. Compact Visuotactile World Models for Lifting: Prediction, Reward Alignment, and Force Constraints

    Date pendingQinzhen Ma (Rice University)Tactile World ModelGround Reaction Forces

  32. Certifying cooperation: a novel approach to cooperative multi-agent task generation

    Date pendingYannick Molinghen, Hugo Charels, Tom LenaertsCooperationMulti-Agent Reinforcement Learning