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
Record details
Published: 28 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (28 May 2026), “Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning,” evidence record 3536, https://ethics.ai/record/3536 (originally published by arXiv).
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