AI BriefingOpen Ko-LLM Leaderboard Launches for Evaluating Korean LLM Performance
Key point
Upstage and NIA are launching the Open Ko-LLM Leaderboard for comparing Korean LLM performance.
Details
Upstage and NIA will launch the Open Ko-LLM Leaderboard, which allows comparison of Korean LLM performance, on September 27. The key point is that it is not a simple translation of Hugging Face's existing Open LLM Leaderboard, but is built with proprietary data that reflects the characteristics and culture of the Korean language.
It is an open platform where anyone can register a Korean LLM they have developed to compete against other models, and researchers can check how to participate at the Open Ko-LLM Leaderboard space on Hugging Face after the launch.
Korean-specific items have been added to the evaluation system.
- High-quality data reflecting the characteristics and culture of the Korean language
- Common-sense generation criteria that assess the ability to generate common sense
- Question sets covering historical distortion, hallucination errors, morpheme errors, irregular conjugation errors, hate speech, and more
This common-sense generation dataset was built by Upstage in collaboration with a research team led by Professor Lim Hee-seok of Korea University. The goal is to evaluate whether outputs are natural and consistent with common sense from the perspective of Korean-language users, with a focus on reducing errors like the 'King Sejong MacBook-throwing incident,' a case often cited as a representative hallucination example.
Upstage expects this leaderboard to boost the competitiveness of Korean LLM research, improve the quantity and quality of Korean data, and promote joint research and collaboration. The KT Cloud infrastructure recently secured through collaboration with KT will also be used to ensure stable operation of the leaderboard.
Upstage's Solar ranked No. 1 in the world on Hugging Face's Open LLM Leaderboard last August, and was recently registered as a main model on Poe as well. Upstage plans to contribute to expanding Korea's AI ecosystem and achieving LLM independence through Korean-language data based on the 1T Club and this leaderboard.
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