Who cites «Let's reward step by step: Step-Level reward model as the Navigators for Reasoning»
- A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
- Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 497 citations
- 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
- Improve Mathematical Reasoning in Language Models by Automated Process SupervisionarXiv:2406.06592Liangchen Luo, Yinxiao Liu, Rosanne Liu, et al.2024 · 168 citations
- Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
- V-STaR: Training Verifiers for Self-Taught ReasonersarXiv:2402.06457Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 114 citations
- Rewarding Progress: Scaling Automated Process Verifiers for LLM ReasoningarXiv:2410.08146Amrith Setlur, Chirag Nagpal, Adam Fisch, et al.2024 · 93 citations
- Evaluating Mathematical Reasoning Beyond AccuracyProceedings of the AAAI Conference on Artificial IntelligenceShijie Xia, Xuefeng Li, Yixin Liu, et al.2024 · 85 citations
- VinePPO: Refining Credit Assignment in RL Training of LLMsarXiv:2410.01679Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.2024 · 63 citations
- LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical ReasoningarXiv:2410.02884Di Zhang, Jianbo Wu, Jingdi Lei, et al.2024 · 49 citations
- Key-Point-Driven Data Synthesis with its Enhancement on Mathematical ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYiming Huang, Xiao Liu, Yeyun Gong, et al.2024 · 45 citations
- Process-Driven Autoformalization in Lean 4arXiv:2406.01940Jianqiao Lu, Yingjia Wan, Zhengying Liu, et al.2024 · 33 citations
- Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
- StepCoder: Improving Code Generation with Reinforcement Learning from Compiler FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Shihan Dou, Yan Liu, Haoxiang Jia, et al.2024 · 32 citations
- AutoPSV: Automated Process-Supervised VerifierConference on Neural Information Processing Systems (NeurIPS)Jianqiao Lu, Zhiyang Dou, Hongru Wang, et al.2024 · 28 citations
- StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement LearningACM International Conference on Information and Knowledge Management (CIKM)Yuanqing Yu, Zhefan Wang, Weizhi Ma, et al.2024 · 20 citations
- What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYiran Ma, Zui Chen, Tianqiao Liu, et al.2024 · 16 citations
- CodePRM: Execution Feedback-enhanced Process Reward Model for Code GenerationFindings of the Association for Computational LinguisticsQingyao Li, Xinyi Dai, Xiangyang Li, et al.2025 · 15 citations
- Progressive Multimodal Reasoning via Active RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.2025 · 10 citations
- A Survey on Feedback-based Multi-step Reasoning for Large Language Models on MathematicsarXiv:2502.14333Ting-Ruen Wei, Haowei Liu, Xuyang Wu, et al.2025 · 7 citations
- TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Sitong Wu, Haoru Tan, Xichen Zhang, et al.2026
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