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Aligning Large Language Models for Safety in African Languages: A Case Study of Hausa

Lemofouet, Valdini Douglace et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
Safety alignment research for large language models (LLMs) remains concentrated on high-resource languages, leaving open how existing alignment methods perform in low-resource, culturally distinct settings. We study this question for Hausa, a language spoken by more than 200 million people across We
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