Mingyu Jin the Impact of Reasoning Steps Length on Llm 2024

[TOC] Title: The Impact of Reasoning Steps Length on Large Language Models Author: Mingyu Jin et. al. Publish Year: 20 Jan 2024 Review Date: Mon, Jan 29, 2024 url: arXiv:2401.04925v3 Summary of paper Contribution The study investigates the impact of the length of reasoning steps in prompts on the reasoning abilities of Large Language Models (LLMs), focusing on Chain of Thought (CoT). Here are the key findings: Effect of Reasoning Step Length:...

<span title='2024-01-29 17:44:10 +1100 AEDT'>January 29, 2024</span>&nbsp;·&nbsp;3 min&nbsp;·&nbsp;568 words&nbsp;·&nbsp;Sukai Huang