3 papers
cs.CL2025
Making Qwen3 Think in Korean with Reinforcement Learning
Jungyup Lee, Jemin Kim, Sang Park +1
We present a two-stage fine-tuning approach to make the large language model Qwen3 14B "think" natively in Korean. In the first stage, supervised fine-tuning (SFT) on a high-qualit…
cs.CL2025
Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs
SeungWon Ji, Jungyup Lee, Jemin Kim +2
Multilingual large language models (LLMs) often exhibit language confusion, a tendency to generate responses in a dominant language irrespective of the prompt's language. To addres…
cs.CL2025
DNA 1.0 Technical Report
Jungyup Lee, Jemin Kim, Sang Park +1
In this report, we present DNA 1.0 8B Instruct, a state-of-the-art bilingual language model optimized for Korean and English language tasks. By applying continual pre-training (CPT…