Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

arXiv:2404.15676v1 Announce Type: new
Abstract: Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought structure of CoT, a number of Chain-of-X (CoX) methods have been developed to address various challenges across diverse domains and tasks involving LLMs. In this paper, we provide a comprehensive survey of Chain-of-X methods for LLMs in different contexts. Specifically, we categorize them by taxonomies of nodes, i.e., the X in CoX, …

abstract arxiv beyond challenges cs.ai cs.cl diverse domains language language models large language large language models llms prompting reasoning survey tasks thought type