Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model

Author:

Kim Bugeun,Ki Kyung Seo,Lee Donggeon,Gweon Gahgene

Publisher

Association for Computational Linguistics

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Does a language model “understand” high school math? A survey of deep learning based word problem solvers;WIREs Data Mining and Knowledge Discovery;2024-03-24

2. Vietnamese Elementary Math Reasoning Using Large Language Model with Refined Translation and Dense-Retrieved Chain-of-Thought;Lecture Notes in Computer Science;2024

3. Bidirectional Training for Generating Math Word Problems Using Pre-Trained Model and Prompt;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

4. Solving math word problems concerning systems of equations with GPT models;Machine Learning with Applications;2023-12

5. Enhancing Math Word Problem Solving Through Salient Clue Prioritization: A Joint Token-Phrase-Level Feature Integration Approach;2023 International Conference on Asian Language Processing (IALP);2023-11-18

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