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NARRepair: Non-Autoregressive Code Generation Model for Automatic
  Program Repair

NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair

24 June 2024
Zhenyu Yang
Zhen Yang
Zhongxing Yu
ArXivPDFHTML

Papers citing "NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair"

2 / 2 papers shown
Title
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
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
235
1,489
0
02 Sep 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
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
1,105
0
09 Feb 2021
1