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Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers


Apr 13, 2021
Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan

* 8 pages 

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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation


Feb 09, 2021
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu


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PyMT5: multi-mode translation of natural language and Python code with transformers


Oct 07, 2020
Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, Neel Sundaresan

* 14 pages, 7 figures, 5 tables, EMNLP 2020 camera ready version 

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GraphCodeBERT: Pre-training Code Representations with Data Flow


Sep 29, 2020
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou


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Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers


Sep 11, 2020
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Neel Sundaresan


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Unit Test Case Generation with Transformers


Sep 11, 2020
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, Neel Sundaresan


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