Taejun Yun — accepted AI-conference papers

2024

Analysis of Multi-Source Language Training in Cross-Lingual Transfer

Seonghoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim

ACL 2024long

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 cross-lingual transfer (XLT) methods have contributed to addressing this data scarcity problem, there still exists ongoin…

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2023

X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity

Taejun Yun, Jinhyeon Kim, Deokyeong Kang, Seonghoon Lim, Jihoon Kim, Taeuk Kim

EMNLP 2023long findings

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 that were not included in the fine-tuning process. While English, due to its widespread usage, is typically regarded as t…

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