CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

4 May 2022

Papers citing "CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training"

4 / 4 papers shown

Title
PanGu-Coder: Program Synthesis with Function-Level Language Modeling Fenia Christopoulou Gerasimos Lampouras Milan Gritta Guchun Zhang Yinpeng Guo ... Guangtai Liang Jia Wei Xin Jiang Qianxiang Wang Qun Liu ELM SyDa ALM 27 74 0 22 Jul 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 210 1,485 0 02 Sep 2021
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
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 77 56 0 23 Mar 2020