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cs.CL2025

Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead

Jesujoba O. Alabi, Michael A. Hedderich, David Ifeoluwa Adelani +1

With over 2,000 languages and potentially millions of speakers, Africa represents one of the richest linguistic regions in the world. Yet, this diversity is scarcely reflected in s…

cs.CL2025

AfriHuBERT: A self-supervised speech representation model for African languages

Jesujoba O. Alabi, Xuechen Liu, Dietrich Klakow +1

In this work, we present AfriHuBERT, an extension of mHuBERT-147, a compact self-supervised learning (SSL) model pretrained on 147 languages. While mHuBERT-147 covered 16 African l…

cs.CL2025

ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding

Israel Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay +11

With the rapid development of evaluation datasets to assess LLMs understanding across a wide range of subjects and domains, identifying a suitable language understanding benchmark…

cs.CL2024

Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages

Edward Bayes, Israel Abebe Azime, Jesujoba O. Alabi +11

Evaluations of Large Language Models (LLMs) on knowledge-intensive tasks and factual accuracy often focus on high-resource languages primarily because datasets for low-resource lan…

cs.CL2024

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?

Vagrant Gautam, Eileen Bingert, Dawei Zhu +2

Robust, faithful and harm-free pronoun use for individuals is an important goal for language model development as their use increases, but prior work tends to study only one or two…

cs.CL2024

EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation

Atnafu Lambebo Tonja, Israel Abebe Azime, Tadesse Destaw Belay +10

Large language models (LLMs) have gained popularity recently due to their outstanding performance in various downstream Natural Language Processing (NLP) tasks. However, low-resour…