mlsanityData to 7 Oct 2026

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

arXiv 2410.12445 ↗First posted 16 Oct 2024cs.CL cs.AIcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 11 of its 15 references that are in the map. First posted on arXiv 16 Oct 2024.

Builds on

11 of 15 references.

References · 11

  1. 2021Training Verifiers to Solve Math Word Problemscited by 9,743
  2. 2020Measuring Massive Multitask Language Understandingcited by 7,768
  3. 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,710
  4. 2019HellaSwag: Can a Machine Really Finish Your Sentence?cited by 4,018
  5. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,919
  6. 2023GPQA: A Graduate-Level Google-Proof Q&A Benchmarkcited by 2,748
  7. 2023Evaluating Large Language Models: A Comprehensive Surveycited by 200
  8. 2024KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledgecited by 33
  9. 2024A Survey of Useful LLM Evaluationcited by 28
  10. 2024Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmarkcited by 23
  11. 2024Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboardcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 3.

6 papers.