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Yeonjung Hong

1 accepted papers

2025

From KMMLU-Redux to Pro: A Professional Korean Benchmark Suite for LLM Evaluation

EMNLP 2025

The development of Large Language Models (LLMs) requires robust benchmarks that encompass not only academic domains but also industrial fields to effectively evaluate their applicability in real-world scenarios. In this paper, we introduce two Korean expert-level benchmarks. KMMLU-Redux, reconstruct

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