DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises

The task of code generation aims to generate code solutions based on given programming problems. Recently, code large language models (code LLMs) have shed new light on this task, owing to their formidable code generation capabilities. While these models are powerful, they seldom focus on further im...

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Veröffentlicht in:	Proceedings of the ACM on software engineering Jg. 1; H. FSE; S. 406 - 426
Hauptverfasser:	Zan, Daoguang, Yu, Ailun, Shen, Bo, Chen, Bei, Li, Wei, Gong, Yongshun, Chen, Xiaolin, Yao, Yafen, Luo, Weihua, Guan, Bei, Liu, Yan, Wang, Yongji, Wang, Qianxiang, Cui, Lizhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 12.07.2024
Schlagworte:	Artificial intelligence Automatic programming Computing methodologies Natural language generation Software and its engineering Software libraries and repositories Instruction Tuning Large Language Model Code Library Code Generation
ISSN:	2994-970X, 2994-970X
Online-Zugang:	Volltext
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