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arXiv · 2503.17963

Won: Establishing Best Practices for Korean Financial NLP

Guijin Son·Hyunwoo Ko·Haneral Jung·Chami Hwang
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Abstract

In this work, we present the first open leaderboard for evaluating Korean large language models focused on finance. Operated for about eight weeks, the leaderboard evaluated 1,119 submissions on a closed benchmark covering five MCQA categories: finance and accounting, stock price prediction, domestic company analysis, financial markets, and financial agent tasks and one open-ended qa task. Building on insights from these evaluations, we release an open instruction dataset of 80k instances and summarize widely used training strategies observed among top-performing models. Finally, we introduce Won, a fully open and transparent LLM built using these best practices. We hope our contributions help advance the development of better and safer financial LLMs for Korean and other languages.

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Guijin Son, Hyunwoo Ko, Haneral Jung, Chami Hwang. 2025-03-23. Won: Establishing Best Practices for Korean Financial NLP. https://arxiv.org/abs/2503.17963

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