Nov. 24, 2022, 7:18 a.m. | Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen

cs.CL updates on arXiv.org arxiv.org

Recently, there has been significant progress in teaching language models to
perform step-by-step reasoning to solve complex numerical reasoning tasks.
Chain-of-thoughts prompting (CoT) is by far the state-of-art method for these
tasks. CoT uses language models to perform both reasoning and computation in
the multi-step `thought' process. To disentangle computation from reasoning, we
propose `Program of Thoughts' (PoT), which uses language models (mainly Codex)
to express the reasoning process as a program. The computation is relegated to
an external computer, …

arxiv computation numerical reasoning

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