Diana Abagyan
Diana Abagyan is an AI researcher who studies multilingual language models and tokenization. At Columbia, she worked as a peer leader in a computer science program and graduated in 2021. Her research moved from Yoruba dialect NLP to universal tokenizers and Tiny Aya, a multilingual model trained across 70 languages. As of October 2026, she is a Member of Technical Staff at Cohere, specializing in pretraining data for large language models.
Timeline
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2020–2021
Computer science at Columbia
As a Columbia College senior, she serves as a peer leader in the Emerging Scholars Program in 2020. She graduates from Columbia College in 2021.
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2024
Yoruba dialect NLP
She coauthors Voices Unheard in 2024, which introduces the YORULECT parallel text and speech corpus across three domains and four regional Yoruba dialects. The authors evaluate machine translation, automatic speech recognition, and speech-to-text translation.
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2025
Research Scholar at Cohere Labs
She works as a Research Scholar at Cohere Labs in 2025. In August 2025, she presents her research on multilingual tokenizers through the Cohere Labs Regional Africa series.
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2025–2026
A universal tokenizer
She releases the One Tokenizer To Rule Them All preprint in 2025 and publishes it in ACL in 2026. The paper proposes a universal tokenizer and reports a language-adaptation win-rate increase of up to 20.2%.
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March 2026
Tiny Aya for 70 languages
She leads Tiny Aya's pretraining and tokenization efforts and coauthors its technical report, submitted in March 2026. The report describes a 3.35-billion-parameter multilingual model trained on 70 languages.
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As of October 2026
Cohere Member of Technical Staff
She is a Member of Technical Staff at Cohere and specializes in pretraining data for large language models.
Career
- Since 2025CohereResearch Scholar
Education
- 2021Columbia College
Most-cited works
- Voices Unheard: NLP Resources and Models for Yorùbá Regional DialectsWith Noah Smith
- One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual TokenizersWith Sara Hooker
- Tiny Aya: Bridging Scale and Multilingual DepthWith Ahmet Üstün, Beyza Ermis, Daniel D'souza, Joelle Pineau, Phil Blunsom and Sara Hooker
Sources and credits
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- How a Peer-Led Class is Making Computer Science More Equitable | Department of Computer Science, Columbia University
- 2021 Columbia College Graduates | Department of Computer Science, Columbia University
- Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects - ACL Anthology
- Open Science Community - Connect Conference
- Open Science Community - Regional Africa
- [2506.10766] One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers
- One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers - ACL Anthology
- [2603.11510] Tiny Aya: Bridging Scale and Multilingual Depth
- Diana Abagyan | SINFO

