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Forget fine-tuning: merging language-specific weights into instruction-tuned LLMs unlocks surprisingly effective instruction following in low-resource languages.
Even when translating to and from a genderless language like Basque, machine translation models exhibit a systematic bias towards masculine forms, revealing a deeper issue than just dataset imbalances.