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Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation., , , , , , , and . CoRR, (2022)Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search., , , , , and . CIKM, page 2994-2998. ACM, (2021)RACE: Retrieval-augmented Commit Message Generation., , , , , , , and . EMNLP, page 5520-5530. Association for Computational Linguistics, (2022)A large-scale empirical study of commit message generation: models, datasets and evaluation., , , , , , , and . Empir. Softw. Eng., 27 (7): 198 (2022)Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search., , , , , and . CoRR, (2021)On the Evaluation of Neural Code Summarization., , , , , , , and . ICSE, page 1597-1608. ACM, (2022)CoCoSoDa: Effective Contrastive Learning for Code Search., , , , , , , and . ICSE, page 2198-2210. IEEE, (2023)Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond., , , , , , and . ISSTA, page 39-51. ACM, (2023)You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search., , , , , , , , , and 1 other author(s). ICSME, page 14-25. IEEE, (2023)CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees., , , , , , and . EMNLP (1), page 4053-4062. Association for Computational Linguistics, (2021)