Orevaoghene Ahia
16 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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Renaissance Researcher
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Mega-Team
(52)
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(10)
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Conferences
EMNLP (10)
ACL (4)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
multilingual nlp
(5)
low-resource language
(5)
machine translation
(4)
multilingual language model
(4)
cross-lingual transfer
(3)
african language
(3)
neural machine translation
(2)
cross-lingual question answering
(2)
language model
(2)
model compression
(2)
transfer learning
(2)
named entity recognition
(2)
question answering
(1)
gradient-based optimization
(1)
multilingual retrieval
(1)
text classification
(1)
algorithmic fairness
(1)
automatic speech recognition
(1)
speech recognition
(1)
toxicity detection
(1)
Papers
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
NIPS 2024
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
ACL 2024
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
ACL 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning
ACL 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
EMNLP 2024
Voices Unheard: NLP Resources and Models for YorΓΉbΓ‘ Regional Dialects
EMNLP 2024
Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers
NAACL 2024
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
EMNLP 2023
AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
EMNLP 2023
Better Quality Pre-training Data and T5 Models for African Languages
EMNLP 2023
LEXPLAIN: Improving Model Explanations via Lexicon Supervision
ACL 2023
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models
EMNLP 2023
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
EMNLP 2022
Intriguing Properties of Compression on Multilingual Models
EMNLP 2022
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation
EMNLP 2021
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
EMNLP 2020