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Orevaoghene Ahia

Orevaoghene Ahia has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Tokenization & segmentation, Multilingual & cross-lingual NLP; often with Hila Gonen, Sachin Kumar, Noah A. Smith.

4 papers in our library · 2023–2026

OpenAlex · h-index 10 · 53 works · 889 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 890 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5463

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of WashingtonSeattle · United States2022–2026 · 30 paperscurrent🔬Allen Institute for Artificial IntelligenceSeattle · United States2023–2026 · 4 paperscurrent🏢GoogleMountain View · United States2021–2022 · 3 papers🔬Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesMarousi · Greece2024 · 2 papers🏢CohereSan Francisco · United States2022–2024 · 2 papers🎓Duke UniversityDurham · United States2024 · 2 papers🎓Carnegie Mellon UniversityPittsburgh · United States2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksSafety Research · 2 worksSocial Sciences · 2 works

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 4 worksTokenization & segmentation · 3 worksMultilingual & cross-lingual NLP · 2 worksMorphology · 1 workBias, fairness & safety · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Subword tokenization · 1 workTokenization · 1 work

 Works by year

2020s

20261 paper20242 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models (2023 · 174 citations)
    Commercial LM APIs bill per token, but how many tokens a text needs depends on the tokenizer and its training data.
  2. MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling (2024 · 30 citations)
    Byte-level multilingual language models avoid the coverage gaps of subword vocabularies, but they inherit a bias built into UTF-8.
  3. MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization (2024 · 19 citations)
    Byte-level and subword language models usually split non-Latin-script text into many more pieces than English.
  4. FLEXITOKENS: Flexible Tokenization for Evolving Language Models (2026 · 3 citations)
    Subword tokenizers stay fixed when a language model is finetuned. As a result, text from new domains, unseen languages or unfamiliar scripts gets split into too many pieces, which hurts accuracy and inflates compute costs. Byte-level models with a learned segmentation module are meant to fix this. In practice…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 174 citations
  2. MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Tomasz Limisiewicz, Terra Blevins, Hila Gonen, et al.2024 · 30 citations
  3. MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based TokenizationConference on Neural Information Processing Systems (NeurIPS)Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2024 · 19 citations
  4. Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yetRoy Xie et al.2024 · 7 citations
  5. FLEXITOKENS: Flexible Tokenization for Evolving Language ModelsFindings of the Association for Computational LinguisticsAbraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar2026 · 3 citations
  6. IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation ↗arXiv (Cornell University) · no summary yetAnjali Kantharuban et al.2026

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 890 times (of the 149,439 papers whose bibliographies we read); 171 citing papers with a page here →.

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