🔗 Who cites «RLHF Workflow: From Reward Modeling to Online RLHF»

107 papers of our library cite it (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← back to «RLHF Workflow: From Reward Modeling to Online RLHF»

1. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
2. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
3. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsFindings of the Association for Computational LinguisticsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 153 citations
4. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
5. A Survey of Reinforcement Learning from Human FeedbackTransactions on Machine Learning ResearchTimo Kaufmann, Paul Weng, Viktor Bengs, et al.2023 · 92 citations
6. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
7. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
8. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
9. mDPO: Conditional Preference Optimization for Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fei Wang, Wenxuan Zhou, James Y. Huang, et al.2024 · 50 citations
10. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
11. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
12. LiPO: Listwise Preference Optimization through Learning-to-RankConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tianqi Liu, Zhen Qin, Junru Wu, et al.2025 · 31 citations
13. R-PRM: Reasoning-Driven Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Shuaijie She, Junxiao Liu, Yifeng Liu, et al.2025 · 18 citations
14. An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Sun, Qianlong Du, Fuwei Cui, et al.2025 · 10 citations
15. WildFeedback: Aligning LLMs With In-situ User Interactions And FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.2026 · 9 citations
16. Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training StagesarXiv:2501.14002Zui Chen, Tianqiao Liu, Mi Tian, et al.2025 · 9 citations
17. ViLBench: A Suite for Vision-Language Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Haoqin Tu, Weitao Feng, Hardy Chen, et al.2025 · 9 citations
18. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
19. Bias Fitting to Mitigate Length Bias of Reward Model in RLHFAnnual Meeting of the Association for Computational Linguistics (ACL)Kangwen Zhao, Jianfeng Cai, Jinhua Zhu, et al.2026 · 2 citations
20. OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
21. AdaJudge: Adaptive Multi-Perspective Judging for Reward ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yongliang Miao, Yangyang Liang, Mengnan Du2026
22. Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaxuan Wang, Yulan Hu, Wenjin Yang, et al.2026
23. COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human ValuesFindings of the Association for Computational LinguisticsSiwei Wu, JinCheng Ren, Xeron Du, et al.2026
24. Debiasing Reward Models via Causally Motivated Inference-Time InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida2026
25. From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step ReasoningFindings of the Association for Computational LinguisticsKiran Purohit, Ramasuri Narayanam, Soumyabrata Pal2026
26. PRISM: Probabilistic Reward Model with Inherent Structural ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Yixin Cao, Yuchen Ni, et al.2026
27. ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Qin, Liangxin Liu, Yu Liang, et al.2026
28. Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time ComputeFindings of the Association for Computational LinguisticsHyewon Suh, Chaojian Li, Cheng-Jhih Shih, et al.2026

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