🔗 Who cites «Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?»

1. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Song, Zhaochen Su, Xiaoye Qu, et al.2025 · 63 citations
2. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
3. Online Difficulty Filtering for Reasoning Oriented Reinforcement LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Sanghwan Bae, Jiwoo Hong, Min Young Lee, et al.2026 · 22 citations
4. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier EngineeringarXiv:2411.11504Xinyan Guan, Yanjiang Liu, Xinyu Lu, et al.2024 · 9 citations

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

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