7 citations · 44 across the 40 of their papers we have counts for
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cs.SE2023★ 2 cited
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
Zejun Wang, Jia Li, Ge Li +1
Large language models have shown good performances in generating code to meet human requirements. However, human requirements expressed in natural languages can be vague, incomplet…
cs.SE2023★ 7 cited
Large Language Model-Aware In-Context Learning for Code Generation
Jia Li, Ge Li, Chongyang Tao +3
Large language models (LLMs) have shown impressive in-context learning (ICL) ability in code generation. LLMs take a prompt consisting of requirement-code examples and a new requir…