Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean

We introduce the Korean Grammar Evaluation BenchMark (KoGEM), designed to assess the linguistic competence of LLMs and humans in Korean.KoGEM consists of 1.5k multiplechoice QA pairs covering five main categories and 16 subcategories.The zero-shot evaluation of 27 LLMs of various sizes and types reveals that while LLMs perform remarkably well on straightforward tasks requiring primarily definitional knowledge, they struggle with tasks that demand the integration of realworld experiential knowledge, such as phonological rules and pronunciation.Furthermore, our in-depth analysis suggests that incorporating such experiential knowledge could enhance the linguistic competence of LLMs.With Ko-GEM, we not only highlight the limitations of current LLMs in linguistic competence but also uncover hidden facets of LLMs in linguistic competence, paving the way for enhancing comprehensive language understanding.Our code and dataset are available at: https://github.com/SungHo3268/KoGEM.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.492
Primary Topic
Border Security and International Relations
Type
article
Field-Weighted Citation Impact
0.00

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article

Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean

SungHo Kim, SangKeun Lee, Nayeon Kim, Taehee Jeon
Border Security and International Relations
article

Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean

SungHo Kim, SangKeun Lee, Nayeon Kim, Taehee Jeon
article en

Abstract

We introduce the Korean Grammar Evaluation BenchMark (KoGEM), designed to assess the linguistic competence of LLMs and humans in Korean.KoGEM consists of 1.5k multiplechoice QA pairs covering five main categories and 16 subcategories.The zero-shot evaluation of 27 LLMs of various sizes and types reveals that while LLMs perform remarkably well on straightforward tasks requiring primarily definitional knowledge, they struggle with tasks that demand the integration of realworld experiential knowledge, such as phonological rules and pronunciation.Furthermore, our in-depth analysis suggests that incorporating such experiential knowledge could enhance the linguistic competence of LLMs.With Ko-GEM, we not only highlight the limitations of current LLMs in linguistic competence but also uncover hidden facets of LLMs in linguistic competence, paving the way for enhancing comprehensive language understanding.Our code and dataset are available at: https://github.com/SungHo3268/KoGEM.

National Research Foundation, Korea University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Quality Education
Openalex Percentile: Top 76%
Border Security and International Relations
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Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean — SungHo Kim, SangKeun Lee, et al. · (2025) | TGRS Research Map | TGRS