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Computer Science > Machine Learning

arXiv:2309.03241 (cs)
[Submitted on 6 Sep 2023 (v1), last revised 12 Sep 2023 (this version, v2)]

Title:GPT Can Solve Mathematical Problems Without a Calculator

Authors:Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang
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Abstract:Previous studies have typically assumed that large language models are unable to accurately perform arithmetic operations, particularly multiplication of >8 digits, and operations involving decimals and fractions, without the use of calculator tools. This paper aims to challenge this misconception. With sufficient training data, a 2 billion-parameter language model can accurately perform multi-digit arithmetic operations with almost 100% accuracy without data leakage, significantly surpassing GPT-4 (whose multi-digit multiplication accuracy is only 4.3%). We also demonstrate that our MathGLM, fine-tuned from GLM-10B on a dataset with additional multi-step arithmetic operations and math problems described in text, achieves similar performance to GPT-4 on a 5,000-samples Chinese math problem test set. Our code and data are public at this https URL.
Comments: 26pages,14figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
Cite as: arXiv:2309.03241 [cs.LG]
  (or arXiv:2309.03241v2 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2309.03241

Submission history

From: Zhen Yang [view email]
[v1] Wed, 6 Sep 2023 06:18:16 UTC (1,249 KB)
[v2] Tue, 12 Sep 2023 11:01:25 UTC (989 KB)
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