Model Editing for LLMs4Code: How Far are we?

Large Language Models for Code (LLMs4Code) have been found to exhibit outstanding performance in the software engineering domain, especially the remarkable performance in coding tasks. However, even the most advanced LLMs4Code can inevitably contain incorrect or outdated code knowledge. Due to the h...

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Vydané v:	Proceedings / International Conference on Software Engineering s. 937 - 949
Hlavní autori:	Li, Xiaopeng, Wang, Shangwen, Li, Shasha, Ma, Jun, Yu, Jie, Liu, Xiaodong, Wang, Jing, Ji, Bin, Zhang, Weimin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 26.04.2025
Predmet:	Adaptation models Benchmark testing Code Generation Code Summarization Codes Encoding Large language models LLMs4Code Maintenance engineering Model Editing Semantics Software engineering Systematics Training
ISSN:	1558-1225
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