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cs.SE2024
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
Jiawei Lu, Haoye Wang, Zhongxin Liu +3
Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions…
cs.SE2024★ 5 cited
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning
Yubo Mai, Zhipeng Gao, Xing Hu +3
Inspired by the great potential of Large Language Models (LLMs) for solving complex coding tasks, in this paper, we propose a novel approach, named Code2API, to automatically perfo…