preprint Open access

Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs

  • arXiv (Cornell University)
  • Cornell University
Research footprint

At a glance

Citations
0
References
0
Comments
0
Paper overview

Abstract

The Open Ko-LLM Leaderboard has been instrumental in benchmarking Korean Large Language Models (LLMs), yet it has certain limitations. Notably, the disconnect between quantitative improvements on the overly academic leaderboard benchmarks and the qualitative impact of the models should be addressed. Furthermore, the benchmark suite is largely composed of translated versions of their English counterparts, which may not fully capture the intricacies of the Korean language. To address these issues, we propose Open Ko-LLM Leaderboard2, an improved version of the earlier Open Ko-LLM Leaderboard. The original benchmarks are entirely replaced with new tasks that are more closely aligned with real-world capabilities. Additionally, four new native Korean benchmarks are introduced to better reflect the distinct characteristics of the Korean language. Through these refinements, Open Ko-LLM Leaderboard2 seeks to provide a more meaningful evaluation for advancing Korean LLMs.

Record transparency

Publication details

DOI
10.48550/arxiv.2410.12445
OpenAlex
W4403578118
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
Last metadata update
Community

Comments

Log in to join the discussion.

  1. No comments yet. Start the discussion.