Work

What Makes Math Word Problems Challenging for LLMs?

Year: 2024

Type: conference-paper

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.

Source: Findings of the Association for Computational Linguistics: NAACL

DOI: 10.18653/v1/2024.findings-naacl.72

Authors: Kv Aditya Srivatsa, Ekaterina Kochmar

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4401043066

FWCI: 2.599

Cites:

Cited by: 9

Related to: 10