BriefGPT.xyz
Apr, 2023
渐进提示提高大型语言模型推理能力
Progressive-Hint Prompting Improves Reasoning in Large Language Models
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Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li
TL;DR
本文提出了一种名为“逐步提示”的新提示方法,它利用先前生成的答案作为提示,逐步引导用户与LLMs之间的自动多次交互,从而进一步提高了性能。 该方法在CoT和自一致性之外,具有正交性,易于与最先进的技术相结合进行综合评估,并在六个基准测试中获得了最佳性能。
Abstract
The performance of
large language models
(LLMs) in reasoning tasks depends heavily on prompt design, with
chain-of-thought
(CoT) and
self-consist
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