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20212026
most citedNaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages

9 citations · 19 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs

Zohaib Khan, Mustafa Dogan, Ifeoma Okoh +6

Misinformation is on the rise, and the strong writing capabilities of LLMs lower the barrier for malicious actors to produce and disseminate false information. We study how LLMs be…

cs.CL2026

MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation

Tianyi Xu, Kosei Uemura, Alfred Malengo Kondoro +6

Large language models have made substantial progress in mathematical reasoning. However, benchmark development for multilingual evaluation has lagged behind English in both difficu…

cs.CL2024★ 7 cited

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…

cs.CL2024

The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment

Chris Chinenye Emezue, Ifeoma Okoh, Chinedu Mbonu +12

The Igbo language is facing a risk of becoming endangered, as indicated by a 2025 UNESCO study. This highlights the need to develop language technologies for Igbo to foster communi…

cs.CL2024★ 3 cited

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Shivalika Singh, Freddie Vargus, Daniel Dsouza +30

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to t…

cs.CL2021★ 9 cited

NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages

Wuraola Fisayo Oyewusi, Olubayo Adekanmbi, Ifeoma Okoh +5

Most of the common applications of Named Entity Recognition (NER) is on English and other highly available languages. In this work, we present our findings on Named Entity Recognit…