most citedSynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

71 citations · 101 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2022★ 11 cited

Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer

Fengji Zhang, Jin Liu, Yao Wan +3

Stack Overflow is one of the most popular programming communities where developers can seek help for their encountered problems. Nevertheless, if inexperienced developers fail to d…

cs.PL2022★ 2 cited

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

Xin Wang, Yasheng Wang, Yao Wan +5

Recent years have witnessed increasing interest in code representation learning, which aims to represent the semantics of source code into distributed vectors. Currently, various w…

cs.CL2022★ 1 cited

Compilable Neural Code Generation with Compiler Feedback

Xin Wang, Yasheng Wang, Yao Wan +7

Automatically generating compilable programs with (or without) natural language descriptions has always been a touchstone problem for computational linguistics and automated softwa…

cs.SE2022★ 16 cited

What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

Yao Wan, Wei Zhao, Hongyu Zhang +3

Recently, many pre-trained language models for source code have been proposed to model the context of code and serve as a basis for downstream code intelligence tasks such as code…

cs.CL2021★ 71 cited

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Xin Wang, Yasheng Wang, Fei Mi +7

Code representation learning, which aims to encode the semantics of source code into distributed vectors, plays an important role in recent deep-learning-based models for code inte…