Author

P. Anyanwu

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#artificial intelligence Preprint Oct 2026

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

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 West Africa. We introd...

Valdini Douglace Lemofouet, Blessing Ngozi Uzor, P. Anyanwu et al. · 0 citations

#natural language process... Preprint Oct 2026

Do Language Models Understand Igbo Culture? Beyond Multiple Choice

The value of language models for any community depends on whether a model actually understands the culture of the people it intends to serve. We use the Igbo language as a case study. Existing benchmarks test translated Western ideas, lacking depth. To address this, we introduce CAB-Igbo, a benchmark developed from ind...

Blessing Ngozi Uzor, Valdini Douglace Lemofouet, P. Anyanwu et al. · 0 citations