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Paper · arXiv

Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning

Recent studies have shown that code-switching data (CSD), in which multiple languages are mixed within the same context, can improve cross-lingual transfer and multilingual alignment in large language models (LLMs). However, existing studies primarily focus on bilingual transfer between English and a target language, leaving multilingual settings involving three or more languages largely unexplored. In this work, we investigate multilingual code-switching instruction tuning across four languages: English, Japanese, Korean, and Chinese. We evaluate multilingual understanding on Belebele. Our experiments show that simple sentence-level multilingual CSD consistently improves average multilin...

AuthorsShunta Asano, Jeonghun Baek, Toshihiko Yamasaki
Primary categorycs.CL
Published28 May 2026
Last updated at source28 May 2026
cs.CLcs.AI
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