Feb. 19, 2024, 5:47 a.m. | Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.10691v1 Announce Type: new
Abstract: Program of Thoughts (PoT) is an approach characterized by its executable intermediate steps, which ensure the accuracy of the numerical calculations in the reasoning process. Currently, PoT primarily uses Python. However, relying solely on a single language may result in suboptimal solutions and overlook the potential benefits of other programming languages. In this paper, we conduct comprehensive experiments on the programming languages used in PoT and find that no single language consistently delivers optimal performance …

abstract accuracy arxiv cs.cl intermediate language languages multilingual multiple numerical process programming programming languages python reasoning solutions thoughts type

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