Navigate Through Enigmatic Labyrinth A Survey Of Chain Of Thought Reasoning: Advances, Frontiers And Future

Chu Zheng, Chen Jingchang, Chen Qianglong, Yu Weijiang, He Tao, Wang Haotian, Peng Weihua, Liu Ming, Qin Bing, Liu Ting. Arxiv 2023

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Attention Mechanism Has Code Model Architecture Prompting Survey Paper

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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