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DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

15 February 2021
Baptiste Roziere
Marie-Anne Lachaux
Marc Szafraniec
Guillaume Lample
    AI4CE
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Papers citing "DOBF: A Deobfuscation Pre-Training Objective for Programming Languages"

4 / 4 papers shown
Title
InCoder: A Generative Model for Code Infilling and Synthesis
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried
Armen Aghajanyan
Jessy Lin
Sida I. Wang
Eric Wallace
Freda Shi
Ruiqi Zhong
Wen-tau Yih
Luke Zettlemoyer
M. Lewis
SyDa
20
609
0
12 Apr 2022
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
196
1,451
0
02 Sep 2021
AVATAR: A Parallel Corpus for Java-Python Program Translation
AVATAR: A Parallel Corpus for Java-Python Program Translation
W. Ahmad
Md Golam Rahman Tushar
Saikat Chakraborty
Kai-Wei Chang
19
77
0
26 Aug 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
183
853
0
09 Feb 2021
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