---
title: "Orevaoghene Ahia — author profile and papers in our library"
description: "Orevaoghene Ahia, University of Washington: 4 papers on Elamur Research (2023–2026), h-index 10 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/orevaoghene-ahia/"
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# Orevaoghene Ahia

Orevaoghene Ahia has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/), [Sachin Kumar](https://md.research.elamur.ai/free/en/authors/sachin-kumar/), [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5045507345) · [**h-index 10**](https://openalex.org/authors/A5045507345) · [53 works](https://openalex.org/works?filter=author.id:A5045507345) · [889 citations](https://openalex.org/works?filter=author.id:A5045507345&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/#papers) · [🔗 Cited 890 times in our library](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5463](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5463)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Orevaoghene+Ahia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Orevaoghene+Ahia) · [dblp](https://dblp.org/search?q=Orevaoghene+Ahia) · [ACL Anthology](https://aclanthology.org/search/?q=Orevaoghene+Ahia)

## Affiliations

[🎓**University of Washington** Seattle · United States 2022–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🏢**Google** Mountain View · United States 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**Athena Research and Innovation Center In Information Communication & Knowledge Technologies** Marousi · Greece 2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/athena-research-and-innovation-center-in-information-communication-knowledge/) · [🏢**Cohere** San Francisco · United States 2022–2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/cohere/) · [🎓**Duke University** Durham · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Tokenization & segmentation · 3 works](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/) · [Tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/tokenization/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/)** *(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](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/)** *(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](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/)** *(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](https://md.research.elamur.ai/free/en/papers/owodunni-2026-flexitokens-flexible-tokenization-evolving-language/)** *(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 Models](https://md.research.elamur.ai/free/en/papers/ahia-2023-do-all-languages-cost-same/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2023 · 174 citations*
2. **[MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/limisiewicz-2024-myte-morphology-driven-byte-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Tokenization](https://md.research.elamur.ai/free/en/papers/ahia-2024-magnet-improving-multilingual-fairness-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.*2024 · 19 citations*
4. **[Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers ↗](https://aclanthology.org/2024.naacl-short.5/) 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 yet**Roy Xie et al.*2024 · 7 citations*
5. **[FLEXITOKENS: Flexible Tokenization for Evolving Language Models](https://md.research.elamur.ai/free/en/papers/owodunni-2026-flexitokens-flexible-tokenization-evolving-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar*2026 · 3 citations*
6. **[IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation ↗](https://arxiv.org/abs/2604.04704) arXiv (Cornell University) · no summary yet**Anjali Kantharuban et al.*2026*

## Co-authors here

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

- [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/) ×3
- [Sachin Kumar](https://md.research.elamur.ai/free/en/authors/sachin-kumar/) ×3
- [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) ×2
- [Tomasz Limisiewicz](https://md.research.elamur.ai/free/en/authors/tomasz-limisiewicz/) ×2
- [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/) ×2
- [Abraham Toluwase Owodunni](https://md.research.elamur.ai/free/en/authors/abraham-toluwase-owodunni/)
- [David R. Mortensen](https://md.research.elamur.ai/free/en/authors/david-r-mortensen/)
- [Jungo Kasai](https://md.research.elamur.ai/free/en/authors/jungo-kasai/)
- [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/)
- [Terra Blevins](https://md.research.elamur.ai/free/en/authors/terra-blevins/)
- [Valentin Hofmann](https://md.research.elamur.ai/free/en/authors/valentin-hofmann/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)

## 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 →](https://md.research.elamur.ai/free/en/authors/orevaoghene-ahia/cited-by/).

Updated 31 October 2026