9 citations · 9 across the 2 of their papers we have counts for
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cs.SE2026
Exploring and Complementing End Users' Requirements in IoT enabled System
Haotian Li, Xiaohong Chen, Zhi Jin +4
End users create IoT automation rules via trigger action programming, but their expressions are often fragmented, capturing device operations rather than high level intents. This g…
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…