Who cites «CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation»
- CODERL+: Improving Code Generation via Reinforcement with Execution Semantics AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Jiang, Yihong Dong, Mengyang Liu, et al.2026 · 5 citations
- A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026
- EGSS: Entropy-guided Stepwise Scaling for Reliable Software EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Chenhui Mao, Yuanting Lei, Zhixiang Wei, et al.2026
- QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.2026
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