Researcher

Beyza Ermis

Also known as Beyza Ermiş

Beyza Ermis is a Senior Research Scientist at Cohere, where her work includes multilingual language models and model evaluation. She joined Amazon Web Services as a Research Scientist in 2017 and coauthored a 2021 method for robust few-shot meta-learning. Her education includes computer engineering at Bilkent and computer science at Boğaziçi, where she completed a doctorate on privacy-preserving data sharing in 2020. At Cohere, she coauthored an LLM evaluation study and Aya Expanse in 2024, multilingual arbitration in 2025, and Tiny Aya in 2026.

Now at
Cohere
Works
59
Citations
469
h-index
12
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. October 2017–November 2022

    Robust meta-learning at Amazon

    She works as a Research Scientist at Amazon Web Services from October 2017 to November 2022. In 2021, she coauthors a method that selects informative examples to make few-shot meta-learning more robust.

  2. 2020

    Bayesian methods for privacy

    In 2020, she completes a computer-science doctorate at Boğaziçi University. Her dissertation explores privacy-preserving data sharing through Bayesian inference, differential privacy, and coupled tensor factorization. She also holds a Master of Science in Computer Science from Boğaziçi and a Bachelor of Science in Computer Engineering from Bilkent.

  3. 2024

    LLM evaluation and Aya Expanse

    In 2024, she coauthors Elo Uncovered, which finds that Elo computations can be volatile and that reliability and transitivity can fail in language-model evaluation. In December 2024, she coauthors Aya Expanse, an 8B and 32B multilingual language-model family.

  4. July 2025

    Multilingual arbitration

    At ACL in July 2025, she coauthors Multilingual Arbitration, a method that routes samples through several models based on each model's strengths for individual languages to improve multilingual performance.

  5. Since January 2023

    Senior Research Scientist at Cohere

    She joins Cohere as a Senior Research Scientist in January 2023. At the Cohere Labs Connect Conference in 2025, she speaks as a Research Scientist at Cohere Labs. In 2026, she coauthors Tiny Aya, a small multilingual model family trained on 70 languages.

Career

  1. Since 2023CohereSenior Research Scientist, Research Scientist
  2. 2017–2022AmazonResearch Scientist

Education

  1. 2020Boğaziçi UniversityPhD
  2. Bilkent UniversityBachelor of Science in Computer Engineering

Most-cited works

  1. Link prediction in heterogeneous data via generalized coupled tensor factorization2013 · Data Mining and Knowledge Discovery · 142 citations
  2. Memory Efficient Continual Learning with Transformers2022 · neural information processing systems · 29 citationsWith Cédric Archambeau
  3. Link Prediction via Generalized Coupled Tensor Factorisation2012 · 27 citations
  4. Linear Bandits with Stochastic Delayed Feedback2018 · 26 citationsWith Claire Vernade
  5. On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 24 citationsWith Sara Hooker

Sources and credits

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  1. Beyza Ermis - Senior Research Scientist at Cohere | The Org theorg.com. Checked 18 October 2026.
  2. The Leaderboard Illusion | Beyza Ermiş, Cohere luma.com. Checked 18 October 2026.
  3. Towards robust episodic meta-learning proceedings.mlr.press. Checked 18 October 2026.
  4. Bayesian approaches for privacy preserving data sharing | Tezler | Tezara tezara.org. Checked 18 October 2026.
  5. Elo Uncovered: Robustness and Best Practices in Language Model Evaluation proceedings.neurips.cc. Checked 18 October 2026.
  6. Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier arxiv.org. Checked 18 October 2026.
  7. Multilingual Arbitration: Optimizing Data Pools to Accelerate Multilingual Progress aclanthology.org. Checked 18 October 2026.
  8. Connect Conference 2025 labscommunity.cohere.com. Checked 18 October 2026.
  9. Tiny Aya: Bridging Scale and Multilingual Depth arxiv.org. Checked 18 October 2026.