collaborators

8 papers

cs.CL2026

The Illusion of Cross-Lingual Safety in Low-Resource Languages

Abigail Oppong, P Sam Sahil, Tadesse Destaw Belay +12

Safety alignment in large language models (LLMs) is largely developed in English, assuming these safeguards generalize across multilingual settings. However, this assumption remain…

cs.CL2026

LLM Safety Alignment in Low-Resource Languages: A Systematic Literature Review

Valdini Douglace Lemofouet, Blessing Ngozi Uzor, Paula Chikaodinaka Anyanwu +9

Large Language Models (LLMs) have achieved substantial progress in safety alignment, yet their safety guarantees remain significantly weaker in low-resource and multilingual settin…

cs.CL2026

UbuntuGuard: A Culturally-Grounded Policy Benchmark for Equitable AI Safety in African Languages

Tassallah Abdullahi, Macton Mgonzo, Mardiyyah Oduwole +4

Current guardian models are predominantly Western-centric and optimized for high-resource languages, leaving low-resource African languages vulnerable to evolving harms, cross-ling…

cs.AI2026

The Persona Paradox: Medical Personas as Behavioral Priors in Clinical Language Models

Tassallah Abdullahi, Shrestha Ghosh, Hamish S Fraser +5

Persona conditioning can be viewed as a behavioral prior for large language models (LLMs) and is often assumed to confer expertise and improve safety in a monotonic manner. However…

cs.AI2025

Benchmarking is Broken -- Don't Let AI be its Own Judge

Zerui Cheng, Stella Wohnig, Ruchika Gupta +13

The meteoric rise of AI, with its rapidly expanding market capitalization, presents both transformative opportunities and critical challenges. Chief among these is the urgent need…

cs.CL2025

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset

Tobi Olatunji, Charles Nimo, Abraham Owodunni +23

Recent advancements in large language model(LLM) performance on medical multiple choice question (MCQ) benchmarks have stimulated interest from healthcare providers and patients gl…