Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

• URL: http://arxiv.org/abs/2309.15402v3
• Date: Thu, 6 Jun 2024 01:58:54 GMT
• Title: Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
• Authors: Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu,
• Abstract summary: Chain-of-thought prompting significantly enhances LLM's reasoning capabilities. This paper systematically investigates relevant research, summarizing advanced methods. We also delve into the current frontiers and delineate the challenges and future directions.
• Score: 38.1992191907012
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Reasoning, a fundamental cognitive process integral to human intelligence, has garnered substantial interest within artificial intelligence. Notably, recent studies have revealed that chain-of-thought prompting significantly enhances LLM's reasoning capabilities, which attracts widespread attention from both academics and industry. In this paper, we systematically investigate relevant research, summarizing advanced methods through a meticulous taxonomy that offers novel perspectives. Moreover, we delve into the current frontiers and delineate the challenges and future directions, thereby shedding light on future research. Furthermore, we engage in a discussion about open questions. We hope this paper serves as an introduction for beginners and fosters future research. Resources have been made publicly available at https://github.com/zchuz/CoT-Reasoning-Survey

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