4 citations · 6 across the 7 of their papers we have counts for
7 papers
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…
AFRICAPTION: Establishing a New Paradigm for Image Captioning in African Languages
Mardiyyah Oduwole, Prince Mireku, Fatimo Adebanjo +3
Multimodal AI research has overwhelmingly focused on high-resource languages, hindering the democratization of advancements in the field. To address this, we present AfriCaption, a…
From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation
Mardiyyah Oduwole, Oluwatosin Olajide, Jamiu Suleiman +9
The linguistic diversity across the African continent presents different challenges and opportunities for machine translation. This study explores the effects of data augmentation…
What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
Busayo Awobade, Mardiyyah Oduwole, Steven Kolawole
Compression techniques have been crucial in advancing machine learning by enabling efficient training and deployment of large-scale language models. However, these techniques have…
A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm
Muideen Adegoke, Lateef O. Jolaoso, Mardiyyah Oduwole
The Extreme Learning Machine (ELM) technique is a machine learning approach for constructing feed-forward neural networks with a single hidden layer and their models. The ELM model…
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
Israel Abebe Azime, Sana Sabah Al-Azzawi, Atnafu Lambebo Tonja +8
AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual sentiment classification (sub-task A) for 12 African languages, multilingual sentiment classi…
MasakhaNEWS: News Topic Classification for African languages
David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime +62
African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are…