activity
20202026
most citedNeural Program Repair: Systems, Challenges and Solutions

26 citations · 107 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.SE2023★ 1 cited

Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases

Ze Tang, Jidong Ge, Shangqing Liu +4

Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not be optimal in completi…

cs.SE2023★ 9 cited

Practical Program Repair via Preference-based Ensemble Strategy

Wenkang Zhong, Chuanyi Li, Kui Liu +5

To date, over 40 Automated Program Repair (APR) tools have been designed with varying bug-fixing strategies, which have been demonstrated to have complementary performance in terms…

cs.CL2023

Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge

Yuan Zhang, Chuanyi Li, Yu Sheng +2

In formal procedure of civil cases, the textual materials provided by different parties describe the development process of the cases. It is a difficult but necessary task to extra…

cs.SE2023★ 7 cited

An Empirical Comparison of Pre-Trained Models of Source Code

Changan Niu, Chuanyi Li, Vincent Ng +3

While a large number of pre-trained models of source code have been successfully developed and applied to a variety of software engineering (SE) tasks in recent years, our understa…

cs.CV2023★ 11 cited

Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning

Jidong Ge, Yuxiang Liu, Jie Gui +5

Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations…