177 citations · 246 across the 15 of their papers we have counts for
13 papers · 1 filter
Improving Multilingual Math Reasoning for African Languages
Odunayo Ogundepo, Akintunde Oladipo, Kelechi Ogueji +3
Researchers working on low-resource languages face persistent challenges due to limited data availability and restricted access to computational resources. Although most large lang…
Multi-Reference Preference Optimization for Large Language Models
Hung Le, Quan Tran, Dung Nguyen +4
How can Large Language Models (LLMs) be aligned with human intentions and values? A typical solution is to gather human preference on model outputs and finetune the LLMs accordingl…
Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences
Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji +2
Direct Preference Optimization (DPO) is an effective technique that leverages pairwise preference data (usually one chosen and rejected response pair per user prompt) to align LLMs…
AfroBench: How Good are Large Language Models on African Languages?
Jessica Ojo, Odunayo Ogundepo, Akintunde Oladipo +4
Large-scale multilingual evaluations, such as MEGA, often include only a handful of African languages due to the scarcity of high-quality evaluation data and the limited discoverab…
How Good are Commercial Large Language Models on African Languages?
Jessica Ojo, Kelechi Ogueji
Recent advancements in Natural Language Processing (NLP) has led to the proliferation of large pretrained language models. These models have been shown to yield good performance, u…
Intriguing Properties of Compression on Multilingual Models
Kelechi Ogueji, Orevaoghene Ahia, Gbemileke Onilude +3
Multilingual models are often particularly dependent on scaling to generalize to a growing number of languages. Compression techniques are widely relied upon to reconcile the growt…
What a Creole Wants, What a Creole Needs
Heather Lent, Kelechi Ogueji, Miryam de Lhoneux +2
In recent years, the natural language processing (NLP) community has given increased attention to the disparity of efforts directed towards high-resource languages over low-resourc…
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Julia Kreutzer, Isaac Caswell, Lisa Wang +49
With the success of large-scale pre-training and multilingual modeling in Natural Language Processing (NLP), recent years have seen a proliferation of large, web-mined text dataset…
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. "Low-resourced"-ness is a compl…
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin
Orevaoghene Ahia, Kelechi Ogueji
Nigerian Pidgin is arguably the most widely spoken language in Nigeria. Variants of this language are also spoken across West and Central Africa, making it a very important languag…
Masakhane -- Machine Translation For Africa
Iroro Orife, Julia Kreutzer, Blessing Sibanda +22
Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing (NLP). This is du…
PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English
Kelechi Ogueji, Orevaoghene Ahia
Over 800 languages are spoken across West Africa. Despite the obvious diversity among people who speak these languages, one language significantly unifies them all - West African P…