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Yet Another Combination of IR- and Neural-based Comment Generation., , , , and . CoRR, (2021)API recommendation for machine learning libraries: how far are we?, , , , , and . ESEC/SIGSOFT FSE, page 370-381. ACM, (2022)CoCoNuT: combining context-aware neural translation models using ensemble for program repair., , , , , and . ISSTA, page 101-114. ACM, (2020)CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing., , , , and . CoRR, (2021)SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models., , , , , , and . CoRR, (2023)Assessing Evaluation Metrics for Neural Test Oracle Generation., , , and . CoRR, (2023)CLEAR: Contrastive Learning for API Recommendation., , , , and . ICSE, page 376-387. ACM, (2022)Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory., , and . GLOBECOM, page 4625-4631. IEEE, (2023)Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?, , , , , and . ICSE, page 1548-1560. IEEE, (2021)Demystifying and Detecting Misuses of Deep Learning APIs., , , , , and . ICSE, page 201:1-201:12. ACM, (2024)