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Found 4 papers, 1 papers with code
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset
Recent advancements in large language model(LLM) performance on medical multiple choice question (MCQ) benchmarks have stimulated interest from healthcare providers and patients globally.
You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes
We find that these models generally do not produce quality text and image outputs of dishes specific to different regions.
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
Our evaluation reveals a significant performance gap between high-resource languages~(such as English and French) and low-resource African languages.
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages
Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, since evaluation is often performed on n-gram matching metrics such as BLEU, which typically show a weaker correlation with human judgments.
