A Survey Regarding Reason in Large Language Models
Abstract
The ability to reason is a key component of human intellect and is essential for tasks like problem solving, making decisions, and critical thinking. Large language models (LLMs) have made great strides in natural language processing recently, and it has been noted that when these models are sufficiently large, they may show signs of reasoning. However, it is still unclear how much thinking power LLMs possess. The current state of knowledge regarding reasoning in LLMs is thoroughly reviewed in this paper, along with methods for enhancing and eliciting reasoning in these models, standards and benchmarks for assessing reasoning skills, the outcomes and ramifications of earlier research in the area, and recommendations for future research.
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