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Jacky Keung
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
2024
Compared to Full-Model Fine-Tuning (FMFT), Parameter Efficient Fine-Tuning (PEFT) has demonstrated superior performance and lower computational overhead in several code understanding tasks, such as code summarization and code search. This advantage can be attributed to …
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Improving Learning Efficacy in Basic Programming Practice Based on Three-Stage Thinking
2025
Basic Programming Practice (BPP), as an introductory course for computer science majors, aims to enable students to have basic programming skills and lay a foundation for subsequent advanced course learning. This article draws on the …