most citedDelving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study

2 citations · 2 across the 2 of their papers we have counts for

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cs.SE2024

Practitioners' Expectations on Log Anomaly Detection

Xiaoxue Ma, Yishu Li, Jacky Keung +5

Log anomaly detection has become a common practice for software engineers to analyze software system behavior. Despite significant research efforts in log anomaly detection over th…

cs.SE2024★ 2 cited

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study

Shuo Liu, Jacky Keung, Zhen Yang +3

Compared to Full-Model Fine-Tuning (FMFT), Parameter Efficient Fine-Tuning (PEFT) has demonstrated superior performance and lower computational overhead in several code understandi…