May 8, 2024, 4:47 a.m. | Chen Zhu-Tian, Zeyu Xiong, Xiaoshuo Yao, Elena Glassman

cs.CL updates on arXiv.org arxiv.org

arXiv:2405.03998v1 Announce Type: cross
Abstract: Crafting effective prompts for code generation or editing with Large Language Models (LLMs) is not an easy task. Particularly, the absence of immediate, stable feedback during prompt crafting hinders effective interaction, as users are left to mentally imagine possible outcomes until the code is generated. In response, we introduce Language-Oriented Code Sketching, an interactive approach that provides instant, incremental feedback in the form of code sketches (i.e., incomplete code outlines) during prompt crafting. This approach …

abstract arxiv code code generation cs.cl cs.hc easy editing feedback generate imagine incremental language language models large language large language models llm llms prompt prompts sketches through type user feedback

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