Abstractive Analysis of Traditional and GPT-based Methods for Solving Algebra Problems-Reference-Cited by-同舟云学术

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Abstractive Analysis of Traditional and GPT-based Methods for Solving Algebra Problems

Published:2023-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Conference on Education and Multimedia Technology
language:
Short-container-title:

Author:

Xia Jing¹^ORCID,Yu Xinguo²^ORCID

Affiliation:

1. College of International Cultural Exchange, Central China Normal University, China

2. National Engineering Research Center for E-Learning, Central China Normal University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625704.3625768

Reference24 articles.

1. Solving math word problems concerning systems of equations with GPT models

2. K. Cobbe , H. Jun, Training verifiers to solve math word problems , OpenAI , Manuscript , 2021 . K. Cobbe, H. Jun, Training verifiers to solve math word problems, OpenAI, Manuscript, 2021.

3. Z. Liang , J. Zhang , J. Shao , and X. Zhang . MWP-BERT: A strong baseline for math word problems, 07 2021 , Manuscript . Z. Liang, J. Zhang, J. Shao, and X. Zhang. MWP-BERT: A strong baseline for math word problems, 07 2021, Manuscript.

4. The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

5. A review of methods for automatic understanding of natural language mathematical problems

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