What Makes Math Word Problems Challenging for LLMs?

Kv Aditya Srivatsa, Ekaterina Kochmar


Abstract
This paper investigates the question of what makes math word problems (MWPs) in English challenging for large language models (LLMs). We conduct an in-depth analysis of the key linguistic and mathematical characteristics of MWPs. In addition, we train feature-based classifiers to better understand the impact of each feature on the overall difficulty of MWPs for prominent LLMs and investigate whether this helps predict how well LLMs fare against specific categories of MWPs.
Anthology ID:
2024.findings-naacl.72
Volume:
Findings of the Association for Computational Linguistics: NAACL 2024
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Kevin Duh, Helena Gomez, Steven Bethard
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1138–1148
Language:
URL:
https://aclanthology.org/2024.findings-naacl.72
DOI:
Bibkey:
Cite (ACL):
Kv Aditya Srivatsa and Ekaterina Kochmar. 2024. What Makes Math Word Problems Challenging for LLMs?. In Findings of the Association for Computational Linguistics: NAACL 2024, pages 1138–1148, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
What Makes Math Word Problems Challenging for LLMs? (Srivatsa & Kochmar, Findings 2024)
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PDF:
https://aclanthology.org/2024.findings-naacl.72.pdf
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 2024.findings-naacl.72.copyright.pdf