most citedClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.SE2023★ 9 cited

ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification

Fangwen Mu, Lin Shi, Song Wang +5

We introduce a novel framework named ClarifyGPT, which aims to enhance code generation by empowering LLMs with the ability to identify ambiguous requirements and ask targeted clari…