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Private-library-oriented code generation with large language models
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AI
DOI：10.1016/j.knosys.2025.113934.png)
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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
IF:
7.6
Papers:
1.3W
Citations:
4.5W
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