🔗 Who cites «West-of-N: Synthetic Preferences for Self-Improving Reward Models»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «West-of-N: Synthetic Preferences for Self-Improving Reward Models»

1. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
2. RLHF Workflow: From Reward Modeling to Online RLHFarXiv:2405.07863Hanze Dong, Wei Xiong, Bo Pang, et al.2024 · 111 citations
3. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
4. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
5. Piecing It All Together: Verifying Multi-Hop Multimodal ClaimsInternational Conference on Computational Linguistics (COLING)Haoran Wang, Aman Rangapur, Xiongxiao Xu, et al.2025 · 8 citations
6. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
7. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationarXiv:2407.16008Jiaming Shen, Ran Xu, Yennie Jun, et al.2024 · 5 citations

15 more papers of our library cite it; they have no page here yet.

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