How well do Large Language Models perform in Arithmetic tasks?. (arXiv:2304.02015v1 [cs.CL])

Large language models have emerged abilities including chain-of-thought to
answer math word problems step by step. Solving math word problems not only
requires abilities to disassemble problems via chain-of-thought but also needs
to calculate arithmetic expressions correctly for each step. To the best of our
knowledge, there is no work to focus on evaluating the arithmetic ability of
large language models. In this work, we propose an arithmetic dataset MATH 401
to test the latest large language models including GPT-4, ChatGPT, InstrctGPT,
Galactica, and LLaMA with various arithmetic expressions and provide a detailed
analysis of the ability of large language models. MATH 401 and evaluation codes
are released at url{}.



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