with NLE improves NLI and classiﬁcation performance, though they largely focus on evaluating
explanation plausibility. In comparison, our work focuses on a range of arithmetic, commonsense,
and symbolic tasks that require multi-hop reasoning.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models