arxiv Preprint – GPT Can Solve Mathematical Problems Without a Calculator

In this episode we discuss GPT Can Solve Mathematical Problems Without a Calculator
by Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang. The paper challenges the belief that large language models cannot perform arithmetic operations accurately without calculator tools. The researchers present MathGLM, a 2 billion-parameter language model, which achieves nearly 100% accuracy in multi-digit arithmetic operations, surpassing GPT-4. They demonstrate the model’s capability by training it on a dataset containing multi-step arithmetic operations and math problems described in text, and it performs similarly to GPT-4 on a Chinese math problem test set. The results suggest that language models can excel in mathematical problem-solving without the need for calculators, given sufficient training data.