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Exploring and evaluating personalized models for code generation., , , , , and . ESEC/SIGSOFT FSE, page 1500-1508. ACM, (2022)DeepDev-PERF: a deep learning-based approach for improving software performance., , , , and . ESEC/SIGSOFT FSE, page 948-958. ACM, (2022)Program Translation via Code Distillation., , , , , , and . EMNLP, page 10903-10914. Association for Computational Linguistics, (2023)DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons., , , and . CoRR, (2021)DeepPERF: A Deep Learning-Based Approach For Improving Software Performance., , , , and . CoRR, (2022)Generating Examples from CLI Usage: Can Transformers Help?, , , , and . KDD, page 3575-3583. ACM, (2022)Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy., , , , , , , and . EMNLP (1), page 4713-4722. Association for Computational Linguistics, (2021)PyMT5: multi-mode translation of natural language and Python code with transformers., , , , and . EMNLP (1), page 9052-9065. Association for Computational Linguistics, (2020)Execution-based Evaluation for Data Science Code Generation Models., , , , , , , , and . CoRR, (2022)Training and Evaluating a Jupyter Notebook Data Science Assistant., , , and . CoRR, (2022)