🔗 Who cites «NExT: Teaching Large Language Models to Reason about Code Execution»

25 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «NExT: Teaching Large Language Models to Reason about Code Execution»

1. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 159 citations
2. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
3. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
4. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
5. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Dayu Yang, Tianyang Liu, Daoan Zhang, et al.2025 · 19 citations
6. Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language ModelsarXiv:2412.02980Alex Havrilla, Andrew Dai, Laura O'Mahony, et al.2024 · 17 citations
7. 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
8. From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical DebuggingIEEE/ACM International Conference on Software Engineering (ICSE)Yuling Shi, Songsong Wang, Chengcheng Wan, et al.2024 · 15 citations
9. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence CheckingConference on Empirical Methods in Natural Language Processing (EMNLP)Anjiang Wei, Jiannan Cao, Ran Li, et al.2025 · 8 citations
10. ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lingxiao Tang, He Ye, Zhaoyang Chu, et al.2026 · 1 citation
11. Think Like You Execute: Verifiable Chain of Thought from Program TracesAnnual Meeting of the Association for Computational Linguistics (ACL)Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.2026

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

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