CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationOpen Website

2021 (modified: 14 Jan 2022)EMNLP (1) 2021Readers: Everyone
Abstract: Yue Wang, Weishi Wang, Shafiq Joty, Steven C.H. Hoi. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.
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