🔗 Who cites «An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning»

1. 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
2. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningFindings of the Association for Computational LinguisticsCan Xie, Ruotong Pan, Xiangyu Wu, et al.2026 · 15 citations
3. LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jianghao Chen, Junhong Wu, Yangyifan Xu, et al.2025 · 12 citations
4. AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model DiscoveryarXiv:2604.05550Yu Li, Chenyang Shao, Xinyang Liu, et al.2026 · 5 citations
5. Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Raffaele Pisano, Roberto Navigli2026 · 1 citation

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

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