18 citations · 18 across the 6 of their papers we have counts for
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cs.SE2025
An Empirical Study on Commit Message Generation using LLMs via In-Context Learning
Yifan Wu, Yunpeng Wang, Ying Li +5
Commit messages concisely describe code changes in natural language and are important for software maintenance. Several approaches have been proposed to automatically generate comm…
cs.SE2024
LogPTR: Variable-Aware Log Parsing with Pointer Network
Yifan Wu, Bingxu Chai, Siyu Yu +4
Due to the sheer size of software logs, developers rely on automated log analysis. Log parsing, which parses semi-structured logs into a structured format, is a prerequisite of aut…
cs.SE2023★ 18 cited
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Peng Di, Jianguo Li, Hang Yu +35
Code Large Language Models (Code LLMs) have gained significant attention in the industry due to their wide applications in the full lifecycle of software engineering. However, the…