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Code to Comment Translation: A Comparative Study on Model Effectiveness
  & Errors

Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors

15 June 2021
Junayed Mahmud
Fahim Faisal
Raihan Islam Arnob
Antonios Anastasopoulos
Kevin Moran
ArXivPDFHTML

Papers citing "Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors"

4 / 4 papers shown
Title
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
Kang Yang
Xinjun Mao
Shangwen Wang
Yunhong Wang
Tanghaoran Zhang
Bo Lin
Yihao Qin
Zhang Zhang
Yao Lu
Kamal Al-Sabahi
ALM
152
1
0
28 Apr 2025
The Vault: A Comprehensive Multilingual Dataset for Advancing Code
  Understanding and Generation
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Dũng Nguyễn Mạnh
Nam Le Hai
An Dau
A. Nguyen
Khanh N. Nghiem
Jingnan Guo
Nghi D. Q. Bui
31
15
0
09 May 2023
Multilingual training for Software Engineering
Multilingual training for Software Engineering
Toufique Ahmed
Prem Devanbu
62
73
0
03 Dec 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