148 citations · 352 across the 38 of their papers we have counts for
38 papers
Exploring Multi-Lingual Bias of Large Code Models in Code Generation
Chaozheng Wang, Zongjie Li, Cuiyun Gao +6
Code generation aims to synthesize code and fulfill functional requirements based on natural language (NL) specifications, which can greatly improve development efficiency. In the…
How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Man Tik Ng, Hui Tung Tse, Jen-tse Huang +3
The role-play ability of Large Language Models (LLMs) has emerged as a popular research direction. However, existing studies focus on imitating well-known public figures or fiction…
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao +2
Recently, there has been a growing interest in automatic software vulnerability detection. Pre-trained model-based approaches have demonstrated superior performance than other Deep…
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach
Jinxi Kuang, Jinyang Liu, Junjie Huang +6
Due to the scale and complexity of cloud systems, a system failure would trigger an "alert storm", i.e., massive correlated alerts. Although these alerts can be traced back to a fe…
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems
Junjie Huang, Jinyang Liu, Zhuangbin Chen +7
Postmortem analysis is essential in the management of incidents within cloud systems, which provides valuable insights to improve system's reliability and robustness. At CloudA, fa…
Go Static: Contextualized Logging Statement Generation
Yichen Li, Yintong Huo, Renyi Zhong +6
Logging practices have been extensively investigated to assist developers in writing appropriate logging statements for documenting software behaviors. Although numerous automatic…