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Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
April 25, 2024, 5:44 p.m. | Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral
cs.CL updates on arXiv.org arxiv.org
Abstract: Recently developed large language models (LLMs) have been shown to perform remarkably well on a wide range of language understanding tasks. But, can they really "reason" over the natural language? This question has been receiving significant research attention and many reasoning skills such as commonsense, numerical, and qualitative have been studied. However, the crucial skill pertaining to 'logical reasoning' has remained underexplored. Existing work investigating this reasoning ability of LLMs has focused only on a …
arxiv cs.ai cs.cl evaluation language language models large language large language models reasoning type
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