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Private-library-oriented code generation with large language models

delete2025-06-30
delete0
PRE
AI
D
Daoguang Zan
B
Bei Chen
Y
Yongshun Gong
Z
Zhang, Fengji
武
武炳超 (Bingchao Wu)
B
Bei Guan
尹义龙 cover
尹义龙 (Yilong Yin)
Y
Yongji Wang
DOI：10.1016/j.knosys.2025.113934delete
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Abstract

Abstract

En 中文
• We introduce a new scenario focusing on private-library-oriented code generation and propose an innovative framework. • To fairly evaluate this scenario, we manually constructed four benchmarks, each featuring an extensive array of test cases. • Our experiments demonstrated the superior performance of our proposed framework.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

No organization information available