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Double validation and rectification progressive prompt for equations in math word problem based on large language model

Zhang Yinglin
Liu Changhui
Huang Shufen
School of Computer Science & Engineering, Wuhan Institute of Technology, Wuhan 430205, China

Abstract

Although Large Language Model using Chain-of-Thought(CoT) method have been achieved remarkable results in solving Math Word Problem(MWP) with one unknown, there is currently a lack of methodology that is applicable to MWP involving equations. Equation problems are highly sensitive to the reasoning step, and an error in the equation-laying step can lead to a cascade of errors in subsequent steps. Therefore, this paper proposed a progressive prompt called 2ERP, which rectifies incorrect reasoning path after validation and outputs the most likely answer. During the validation module, the process substitutes the answer back into the equation to ensure the accuracy of the calculation. Then, the method obtains numerical relationship from the mathematical expression to verify the equation. The rectification process approximates the correct result by eliminating incorrect reasoning paths based on the consistency of the double validation. 2ERP method outperformed other CoT methods, achieving an average accuracy of 66.2% across six datasets. Notably, it achieved an average improvement of 6.9% on equation problems. In conclusion, 2ERP method improves the accuracy of MWP through multiple iterations and outputs a solving process with detailed steps. This method has a more significant improvement in equation problems.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.05.0153
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-10] Accepted Paper

Cite This Article

张颖霖, 刘昌辉, 黄淑芬. 基于大模型使用方程双重验证提示的数学问题求解 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.05.0153. (Zhang Yinglin, Liu Changhui, Huang Shufen. Double validation and rectification progressive prompt for equations in math word problem based on large language model [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.05.0153. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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