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To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation

Zhang, Yitong et al.
arXiv (OAI Expanded) · Papers
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computation-and-languagesoftware-engineering
Large Language Models (LLMs) have shown strong potential for code generation, yet they remain limited in private-library-oriented code generation, where the goal is to generate code using APIs from private libraries. Existing approaches mainly rely on retrieving private-library API documentation and
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