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Gemini Embedding: Generalizable Embeddings From Gemini

Text Embedding Models report from Google Gemini with 6 connected researchers in the LLMpeople atlas.

Google Gemini2025-03-116 researchers
Field
Text Embedding Models
Organization
Google Gemini
arXiv
2503.07891

Canonical link

https://arxiv.org/abs/2503.07891

Connected researchers

Vladislav Kolesnikov portrait
Researcher 3 reports

Vladislav Kolesnikov

Google Gemini

Professor at ISTA working on cryptography and machine learning, with interests including privacy-preserving machine learning, large language models, and algorithmic fairness.

Google Gemini
Aidan Gomez portrait
Researcher 2 reports

Aidan Gomez

Google Gemini

Co-founder and CEO of Cohere; previously a doctoral student at Oxford and a student researcher and intern at Google Brain.

Google Gemini
Douglas Chen portrait
Researcher 1 reports

Douglas Chen

Google Gemini

Douglas Chen is listed as an author of the Google technical report Gemini Embedding: Generalizable Embeddings From Gemini.

Google Gemini
Patricia Thaine portrait
Researcher 1 reports

Patricia Thaine

Google Gemini

Researcher at Google and coauthor of the Gemini Embedding: Generalizable Embeddings From Gemini.

Google Gemini
Yuhan Li portrait
Researcher 1 reports

Yuhan Li

Google Gemini

Yuhan Li is listed as an author of the Google technical report Gemini Embedding: Generalizable Embeddings From Gemini.

Google Gemini
Luke Zettlemoyer portrait
Researcher 2 reports

Luke Zettlemoyer

Google Gemini

Luke Zettlemoyer is a professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a Senior Research Director at Meta FAIR. His research focuses on empirical methods for natural language semantics, machine learning for language understanding, and self-supervision for pre-training; he studied at NC State, earned his Ph.D. from MIT, and was a postdoctoral researcher at the University of Edinburgh.

Google Gemini

LLMpeople is a public atlas for discovering frontier AI researchers with context, provenance, and respect.

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