Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

arXiv:2311.04205v2 Announce Type: replace-cross
Abstract: Misunderstandings arise not only in interpersonal communication but also between humans and Large Language Models (LLMs). Such discrepancies can make LLMs interpret seemingly unambiguous questions in unexpected ways, yielding incorrect responses. While it is widely acknowledged that the quality of a prompt, such as a question, significantly impacts the quality of the response provided by LLMs, a systematic method for crafting questions that LLMs can better comprehend is still underdeveloped. In this paper, we present …

arxiv cs.ai cs.cl cs.lg language language models large language large language models questions rephrase type