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CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees.

, , , , , , and . Empir. Softw. Eng., 28 (6): 135 (November 2023)

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Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond., , , , , , and . CoRR, (2024)RACE: Retrieval-augmented Commit Message Generation., , , , , , , and . EMNLP, page 5520-5530. Association for Computational Linguistics, (2022)Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search., , , , , and . CIKM, page 2994-2998. ACM, (2021)On the Evaluation of Commit Message Generation Models: An Experimental Study., , , , , , , and . ICSME, page 126-136. IEEE, (2021)CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees., , , , , , and . Empir. Softw. Eng., 28 (6): 135 (November 2023)SoTaNa: The Open-Source Software Development Assistant., , , , , , , , and . CoRR, (2023)RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening., , , , , and . Internetware, ACM, (2024)On the Evaluation of Neural Code Summarization., , , , , , , and . ICSE, page 1597-1608. ACM, (2022)When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention., , , , , , , , and . CoRR, (2024)Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond., , , , , , and . ISSTA, page 39-51. ACM, (2023)