External Reward Models

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Period ending 2026-09-21

12 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

9 new papers

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  1. SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution

    Jun 29, 2026Aojie Yuan, Yi Nian, Haiyue Zhang +2VerifierFacts

  2. To Reason or to Fabricate: Reasoning Without Shortcuts via Hint-Anchored Pairwise Aggregation

    Jun 28, 2026Jiuheng Lin, Chen Zhang, Yansong FengProcess Reward ModelingShortcuts

  3. BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards

    Jun 27, 2026Yupeng Chang, Yuan Wu, Yi ChangReinforcement Learning With Verifiable RewardCritic-Free Reinforcement Learning

  4. HPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-Speech

    Jun 26, 2026Sihang Nie, Xiaofen Xing, Rui Xing +5Zero-Shot Text-To-SpeechSparse Rewards

  5. The Weakest Link Tells It All: Outcome-Supervised Process Reward Modeling via Learnable Credit Assignment

    Jun 26, 2026Tianyu Jia, Yue Fang, Hongxin Ding +6Reliable Medical Process-Level Reward Model Evaluation FrameworkProcess Reward Modeling

  6. Ask, Solve, Generate: Self-Evolving Unified Multimodal Understanding and Generation via Self-Consistency Rewards

    Jun 25, 2026Ritesh Thawkar, Shravan Venkatraman, Omkar Thawakar +5Remote Sensing Image Change CaptioningSelf-Consistency

  7. Automating Potential-based Reward Shaping with Vision Language Model Guidance

    Jun 25, 2026Henrik Müller, Daniel KudenkoPotential-Based Reward ShapingSparse Rewards

  8. Scaling Multi-Reference Image Generation with Dynamic Reward Optimization

    Jun 25, 2026Wenwang Huang, Yusen Fu, Junjie Wang +6Large-Scale Image GenerationImage Generation

  9. SpatialFlow-GRPO: Where Spatial Credit Drives Image Editing

    Jun 25, 2026Yankai Yang, Yancheng Long, Wei Chen +7Image EditingFlow-Grpo

  10. Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy

    Jun 25, 2026Wenjie Huang, Yang Li, Jingjia Teng +6Reinforcement-Learning PoliciesAutonomous Driving

  11. Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents

    Jun 24, 2026Peng Xu, Sijia Chen, Junzhuo Li +1Group Relative Policy OptimizationPotential-Based Reward Shaping

  12. Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease

    Jun 24, 2026Navin BondadeParkinsonPublic Neuroqwerty

  13. Reinforcement Learning for Computer-Use Agents with Autonomous Evaluation

    Jun 23, 2026Marta Sumyk, Oleksandr KosovanGraphical User Interface AgentsComputer-Use Agents

  14. Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning

    Jun 23, 2026Chenhao Dang, Jing Ma, Mingjie LiaoModel PretrainingProcess Reward Modeling

  15. Learning Process Rewards via Success Visitation Matching for Efficient RL

    Jun 22, 2026Raymond Tsao, Andrew Wagenmaker, Sergey LevineSparse RewardsDeep Reinforcement Learning

  16. DiT-Reward: Generative Representations for Text-to-Image Reward Modeling

    Jun 22, 2026Yuanming Yang, Guoqing Ma, Bo Wang +5Text-To-Image Diffusion ModelsMultimodal Diffusion Transformers

  17. CFPO: Counterfactual Policy Optimization for Multimodal Reasoning

    Jun 22, 2026Zhangyuan Yu, Wanran Sun, Guangjing Yang +2Multimodal ReasoningLarge Vision Language Models

  18. Evo-RAD: Navigating Rare Retinal Disease Diagnosis via Self-Evolving Agentic Retrieval

    Jun 22, 2026Wangding Xia, Ye Du, Jiashi Lin +3Rare DiseaseRetinal Imaging

  19. Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra

    Jun 22, 2026Giorgi Butbaia, Paul Orland, Coco Huang +7Hierarchical Reinforcement LearningSparse Rewards

  20. Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation

    Jun 21, 2026Zechu Li, Yufeng Jin, Puze Liu +2Bimanual ManipulationDexterous Manipulation

  21. RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation

    Jun 20, 2026Pengzhi Yang, Xinyu Wang, Pengyu Jing +7Process Reward Modeling

  22. IRumAI: Reinforcement Learning for Indian Rummy

    Jun 20, 2026Vignesh MohanPotential-Based Reward ShapingGhana

  23. Improving Text-to-Music Generation with Human Preference Rewards

    Jun 19, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +2Music GenerationTuning

  24. The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning

    Jun 19, 2026Lucas Fagan, Michele Tarquini, Ali Shehper +6Deep Reinforcement LearningSparse Rewards

  25. Post-Training Speech Enhancement Language Models with Perceptual Rewards

    Jun 19, 2026Frédéric Berdoz, Luca A. Lanzendörfer, Antonis Asonitis +1Speech EnhancementEnhancement

  26. A Reward-Petri-Net Interpretation of Temporal Behavior Trees

    Jun 19, 2026Till Schmeil, Günther Waxenegger-Wilfing, Sebastian SchirmerReward ModelingLinear Temporal Logics

  27. Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization

    Jun 19, 2026Marco Pratticò, Pietro Novelli, Massimiliano Pontil +1Sparse RewardsExternal Reward Models

  28. Pose-Agnostic Robotic Functional Grasping via Observation-Action Canonicalization

    Jun 19, 2026Le Qiu, Cole Harrison, Jiankai Sun +5Grasp GenerationVisuomotor Policy

  29. When Do Intrinsic Rewards Work for Code Reasoning? A Comprehensive Study

    Jun 18, 2026Xiaolong Jin, Xuandong Zhao, Wenbo Guo +2Code GenerationReinforcement Learning With Verifiable Reward

  30. Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning

    Jun 18, 2026Alan Nadelsticher RuvalcabaDeep Reinforcement LearningSparse Rewards

  31. Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random

    Jun 18, 2026Ziheng Wei, Annie Qu, Rui MiaoOff-Policy EvaluationMissing Data

  32. CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs

    Jun 18, 2026Chengwen Liu, Hao Peng, Jisheng Dang +3Video UnderstandingPotential-Based Reward Shaping

  33. VeriBound: PAC-Bayesian Generalization Bounds for Process Reward Models Trained with Formal Verification Tools

    Jun 17, 2026Amirul Rahman, Mohammed Sabih AlsharariReinforcement Learning With Verifiable RewardFormal Verification

  34. The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL

    Jun 17, 2026Nicolas Beltran-Velez, Felix Friedrich, Zhang Xiaofeng +4Training-Free Reward AlignmentHierarchical Flow Matching

  35. MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning

    Jun 16, 2026Wanshi Xu, Haokun Zhao, Haidong Yuan +2Mathematical ReasoningFine-Grained Perception

  36. ExpRL: Exploratory RL for LLM Mid-Training

    Jun 15, 2026Violet Xiang, Amrith Setlur, Chase Blagden +2Large Language Model ReasoningSparse Rewards

  37. TuneJury: An Open Metric for Improving Music Generation Preference Alignment

    Jun 15, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +5Music GenerationPreference Alignment

  38. Greed Is Learned: Visible Incentives as Reward-Hacking Triggers

    Jun 15, 2026Tong Che, Rui WuIncentivesShared Rewards

  39. Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning

    Jun 15, 2026Tung M. Luu, Hwanhee Kim, Younghwan Lee +1Reinforcement Learning From Human FeedbackExternal Reward Models

  40. Evolutionary Bilevel Reward Shaping for Generalization in Reinforcement Learning

    Jun 15, 2026Ekasit Usaratniwart, Xilin Gao, Marc Ong +1Potential-Based Reward ShapingBilevel Optimization

  41. OmniOPSD: Rationale-Privileged On-Policy Self-Distillation for Affective Computing

    Jun 14, 2026Zebang Cheng, Shuimu Chen, Boxue Yang +7On-Policy DistillationOmni

  42. Reward Transport: Property Control in Flow Matching via Noise-Space Alignment

    Jun 13, 2026Kehan Guo, Yili Shen, Yujun Zhou +4Optimal TransportReward Modeling

  43. Closing the Reflection Gap: A Free Calibration Bonus for Agentic RL

    Jun 12, 2026Yinglun ZhuAgentic Reinforcement-Learning FrameworkReflections

  44. Reward Modeling for Multi-Agent Orchestration

    Jun 11, 2026King Yeung Tsang, Zihao Zhao, Vishal Venkataramani +5Process Reward ModelingReward Modeling

  45. PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving Simulation

    Jun 10, 2026Mahmoud Srewa, Praneetsai Iddamsetty, Mohammad Abdullah Al Faruque +1Autonomous Driving SimulationDrives

  46. ReCal: Reward Calibration for RL-based LLM Routing

    Jun 10, 2026Qihang Yu, Hanwen Tong, Zhengqi Zhang +5Large Language Model RoutingReasoning-Aware Reward

  47. Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall Short

    Jun 8, 2026Han Zhou, Adam X. Yang, Laurence Aitchison +2Reinforcement Learning With Verifiable RewardVerifiable Rewards

  48. PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment

    Jun 8, 2026Yang Tian, Rui Wang, Xumeng Wen +5Credit AssignmentSparse Rewards

  49. ComplexConstraints and Beyond: Expert Rubrics for RLVR

    Jun 8, 2026Sushant Mehta, Liudas Panavas, Suhaas Garre +1Rubric-Based Reinforcement LearningRubrics

  50. Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions

    Jun 8, 2026Xin Jin, Huanqia Cai, Zhen Li +9Shared RewardsText-To-Image

  51. A Unifying Lens on Reward Uncertainty in RLHF

    Jun 8, 2026Ely Hahami, Yoel Zimmermann, Ray Zhou +1Reinforcement Learning From Human FeedbackExternal Reward Models

  52. DynaCF: Mitigating Shortcut Learning in Reward Models via Dynamic Counterfactual Sensitivity

    Jun 8, 2026Fengyuan Liu, Yongliang Miao, Zirui He +3Process Reward ModelingCounterfactual Rollouts

  53. Cheap Reward Hacking Detection

    Jun 8, 2026Iván Belenky, Joaquín Itria, Steven JohnsHackingOutcome-Based Rewards

  54. Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models

    Jun 7, 2026Yang Zhou, Ranajoy Sadhukhan, Zhaofeng Sun +7Autoregressive RolloutSparse Rewards

  55. PAFO: Pareto Fairness Optimization for Personalized Reward Modeling

    Jun 6, 2026Xiaoyan Zhao, Haoting Ni, Yang Zhang +3Process Reward ModelingPareto Frontier

  56. ROSUM-MCTS: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards

    Jun 6, 2026Prashanth Vijayaraghavan, Charles Mackin, Luyao Shi +6VhdlHardware Description Languages

  57. Beyond Rubrics: Exploration-Guided Evaluation Skills for Reward Modeling

    Jun 5, 2026Xing Yue, Linjuan Wu, Daoxin Zhang +2RubricsProcess Reward Modeling

  58. Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning

    Jun 4, 2026Ujjwal Bhatta, Utsabi Dangol, Sumaly Bajracharya +2Sparse RewardsDeep Reinforcement Learning

  59. RREDCoT: Segment-Level Reward Redistribution for Reasoning Models

    Jun 4, 2026Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger +1Large Reasoning ModelsCredit Assignment

  60. Sparse Mixture-of-Experts Reward Models Learn Interpretable and Specialized Experts for Personalized Preference Modeling

    Jun 2, 2026Yifan Wang, Jinyi Mu, Mayank Jobanputra +5Mixture-of-Experts ModelsProcess Reward Modeling