Text Embedding Models

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.

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

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

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

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

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

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

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

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

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

Luke Zettlemoyer

Vladislav Kolesnikov

Aidan Gomez

Patricia Thaine

Alina Beygelzimer

Douglas Chen

Maxime Labonne

Yuhan Li

Eric Johnson

Yury Kashnitsky