Evaluating Multimodal Generative AI with Korean Educational Standards
Authors: name: Sanghee Park, name: Geewook Kim

This paper presents the Korean National Educational Test Benchmark (KoNET), a
new benchmark designed to evaluate Multimodal Generative AI Systems using
Korean national educational tests. KoNET comprises four exams: the Korean
Elementary General Educational Development Test (KoEGED), Middle (KoMGED), High
(KoHGED), and College Scholastic Ability Test (KoCSAT). These exams are
renowned for their rigorous standards and diverse questions, facilitating a
comprehensive analysis of AI performance across different educational levels.
By focusing on Korean, KoNET provides insights into model performance in
less-explored languages. We assess a range of models - open-source,
open-access, and closed APIs - by examining difficulties, subject diversity,
and human error rates. The code and dataset builder will be made fully
open-sourced at https://github.com/naver-ai/KoNET.