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cs.CL2026
LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model
Youngjoon Jang, Chanhee Park, Hyeonseok Moon +5
In recent years, the rapid proliferation of open-source large language models (LLMs) has spurred efforts to turn general-purpose models into domain specialists. However, many domai…
cs.CL2024
Analysis of Multi-Source Language Training in Cross-Lingual Transfer
Seong Hoon Lim, Taejun Yun, Jinhyeon Kim +2
The successful adaptation of multilingual language models (LMs) to a specific language-task pair critically depends on the availability of data tailored for that condition. While c…
cs.CL2023
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity
Taejun Yun, Jinhyeon Kim, Deokyeong Kang +3
Cross-lingual transfer (XLT) is an emergent ability of multilingual language models that preserves their performance on a task to a significant extent when evaluated in languages t…