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

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

2 September 2021

Papers citing "CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation"

10 / 610 papers shown

Title
GAP-Gen: Guided Automatic Python Code Generation Junchen Zhao Yurun Song Junlin Wang Ian G. Harris 6 6 0 19 Jan 2022
Unveiling Project-Specific Bias in Neural Code Models Zhiming Li Yanzhou Li Tianlin Li Mengnan Du Bozhi Wu Yushi Cao Yi Li Yang Liu 23 5 0 19 Jan 2022
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search Shangqing Liu Xiaofei Xie J. Siow L. Ma Guozhu Meng Yang Liu GNN 23 53 0 04 Nov 2021
Cascaded Fast and Slow Models for Efficient Semantic Code Search Akhilesh Deepak Gotmare Junnan Li Shafiq R. Joty S. Hoi 20 10 0 15 Oct 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts Yangruibo Ding Luca Buratti Saurabh Pujar Alessandro Morari Baishakhi Ray Saikat Chakraborty 8 36 0 08 Oct 2021
Compositional generalization in semantic parsing with pretrained transformers A. Orhan 20 6 0 30 Sep 2021
AVATAR: A Parallel Corpus for Java-Python Program Translation W. Ahmad Md Golam Rahman Tushar Saikat Chakraborty Kai-Wei Chang 30 78 0 26 Aug 2021
Impact of Evaluation Methodologies on Code Summarization Pengyu Nie Jiyang Zhang Junyi Jessy Li Raymond J. Mooney Miloš Gligorić 19 19 0 22 Aug 2021
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search Chen Zeng Yue Yu Shanshan Li Xin Xia Zhiming Wang Mingyang Geng Linxiao Bai Wei Dong Xiangke Liao GNN 23 36 0 24 Mar 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 198 853 0 09 Feb 2021