Can We Verify Step by Step for Incorrect Answer Detection?

arXiv:2402.10528v1 Announce Type: new
Abstract: Chain-of-Thought (CoT) prompting has marked a significant advancement in enhancing the reasoning capabilities of large language models (LLMs). Previous studies have developed various extensions of CoT, which focus primarily on enhancing end-task performance. In addition, there has been research on assessing the quality of reasoning chains in CoT. This raises an intriguing question: Is it possible to predict the accuracy of LLM outputs by scrutinizing the reasoning chains they generate? To answer this research question, …

arxiv cs.ai cs.cl detection type verify