EmbeddingGemma: Open Models for Text Similarity Search

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.

Researcher 2 reports

Alina Beygelzimer

Google Gemini

Senior staff research scientist at Google working on algorithms for decision making under uncertainty and online learning.

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.

Researcher 1 reports

Maxime Labonne

Google Gemini

Maxime Labonne is listed as an author of the Google technical report EmbeddingGemma: Open Models for Text Similarity Search.

Researcher 1 reports

Yury Kashnitsky

Google Gemini

Research scientist at Google DeepMind working on search, recommender systems, and language model evaluation, and known for educational work in machine learning.

Researcher 1 reports

Eric Johnson

Google Gemini

Researcher working on text similarity and embedding models, including EmbeddingGemma.