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Understanding Code Semantics: An Evaluation of Transformer Models in
  Summarization

Understanding Code Semantics: An Evaluation of Transformer Models in Summarization

25 October 2023
Debanjan Mondal
Abhilasha Lodha
Ankita Sahoo
Beena Kumari
ArXivPDFHTML

Papers citing "Understanding Code Semantics: An Evaluation of Transformer Models in Summarization"

3 / 3 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
214
1,489
0
02 Sep 2021
On the Evaluation of Neural Code Summarization
On the Evaluation of Neural Code Summarization
Ensheng Shi
Yanlin Wang
Lun Du
Junjie Chen
Shi Han
Hongyu Zhang
Dongmei Zhang
Hongbin Sun
ELM
117
86
0
15 Jul 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
196
853
0
09 Feb 2021
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