Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
<|reference_start|>Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark: This paper introduces the Open Ko-LLM Leaderboard and the Ko-H5 Benchmark as vital tools for evaluating Large Language Models (LLMs) in Korean. Incorporating private test sets while mirroring the English Open LLM Leaderboard, we establish a robust evaluation framework that has been well integrated in the Korean LLM community. We perform data leakage analysis that shows the benefit of private test sets along with a correlation study within the Ko-H5 benchmark and temporal analyses of the Ko-H5 score. Moreover, we present empirical support for the need to expand beyond set benchmarks. We hope the Open Ko-LLM Leaderboard sets precedent for expanding LLM evaluation to foster more linguistic diversity.<|reference_end|>
@article{park2024open,
    title={Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with
  Ko-H5 Benchmark},
    author={Chanjun Park, Hyeonwoo Kim, Dahyun Kim, Seonghwan Cho, Sanghoon Kim,
  Sukyung Lee, Yungi Kim, Hwalsuk Lee},
    journal={arXiv preprint arXiv:2405.20574},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.20574},
    primaryClass={cs.CL cs.AI}
}