416 citations · 958 across the 23 of their papers we have counts for
8 papers · 1 filter
Modular Tree Network for Source Code Representation Learning
Wenhan Wang, Ge Li, Sijie Shen +2
Learning representation for source code is a foundation of many program analysis tasks. In recent years, neural networks have already shown success in this area, but most existing…
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren +19
Benchmark datasets have a significant impact on accelerating research in programming language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster machine le…
Multi-task Learning based Pre-trained Language Model for Code Completion
Fang Liu, Ge Li, Yunfei Zhao +1
Code completion is one of the most useful features in the Integrated Development Environments (IDEs), which can accelerate software development by suggesting the next probable toke…
Retrieve and Refine: Exemplar-based Neural Comment Generation
Bolin Wei, Yongmin Li, Ge Li +2
Code comment generation which aims to automatically generate natural language descriptions for source code, is a crucial task in the field of automatic software development. Tradit…
Towards Full-line Code Completion with Neural Language Models
Wenhan Wang, Sijie Shen, Ge Li +1
A code completion system suggests future code elements to developers given a partially-complete code snippet. Code completion is one of the most useful features in Integrated Devel…
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang, Ge Li, Bo Ma +2
Code clones are semantically similar code fragments pairs that are syntactically similar or different. Detection of code clones can help to reduce the cost of software maintenance…