In sequential multilingual fine-tuning, non-Latin-script languages are forgotten more severely than Latin-script ones, and separating LoRA adapters per language reduces forgetting.
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What Causes Knowledge Loss in Multilingual Language Models?
In sequential multilingual fine-tuning, non-Latin-script languages are forgotten more severely than Latin-script ones, and separating LoRA adapters per language reduces forgetting.