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Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration

2024-10-17

Abstract excerpt

<title>Abstract</title> <p>Despite their proficiency in math tasks, the mechanisms underlying LLMs' mathematical reasoning abilities remain a subject of debate. Recent studies suggest that chain-of-thought (CoT) prompts can bolster mathematical reasoning by encouraging LLMs to employ human-like logical reasoning (System 2), enabling them to excel on the Cognitive Reflection Test (CRT). To assess whether LLMs genu...

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Literature Corpus work: e8ccc77d-d049-5000-99b6-c73fc806bc4c
DOI: 10.21203/rs.3.rs-5273334/v1

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