Private-library-oriented code generation with large language models

Daoguang Zan

doi:10.1016/j.knosys.2025.113934

2025-06-30

PRE

DOI：10.1016/j.knosys.2025.113934

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摘要

En 中文

• 我们介绍了一种新的场景，专注于面向私有库的代码生成，并提出了一种创新框架。 • 为了公平评估该场景，我们手动构建了四个基准测试，每个基准测试都包含大量的测试用例。 • 我们的实验证明了我们所提出框架的卓越性能。

期刊

Knowledge-Based Systems

IF:

7.6

论文数:

1.3W

被引数:

4.5W

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