🔗 Who cites «Code Execution with Pre-trained Language Models»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Code Execution with Pre-trained Language Models»

1. Can Language Models Solve Graph Problems in Natural Language?Conference on Neural Information Processing Systems (NeurIPS)Heng Wang, Shangbin Feng, Tianxing He, et al.2023 · 124 citations
2. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
3. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
4. 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
5. 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
6. Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering TasksarXiv:2502.03806Kyi Shin Khant, Hong Yi Lin, Patanamon Thongtanunam2025 · 1 citation

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

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