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Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Ruitong Liu
Yanbin Wang
Haitao Xu
Bin Liu
Fan Zhang
Zhenhao Guo
Wenrui Ma
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Papers citing "Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection"

4 / 4 papers shown
Title
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
188
624
0
26 Feb 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
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
1,098
0
09 Feb 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013