RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Trevor Cai is listed as an author of the Google technical report RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

Google researcher whose official profile says he joined Google in September 2008 and has been with Google Brain since January 2015, with research interests spanning information retrieval, machine learning, machine translation, and natural language processing.

Google Gemini report author listed on Gemini, Gemini 1.5, RecurrentGemma, and CodeGemma technical reports, with report-backed work on multimodal models, long-context models, efficient architectures, and code models.

Founder and CEO of Google DeepMind, leading AI research and product development; his work spans AI, neuroscience, game playing, and structural biology.

Member of Technical Staff at Google DeepMind working on machine learning, natural language processing, and large language models.

Aäron van den Oord is a Google DeepMind researcher known for generative and sequence-model research.

Staff research scientist at Google DeepMind interested in deep learning theory and applications, with a focus on scaling and reinforcement learning.

Research scientist at Google DeepMind in Mountain View focused on AI red teaming, post-deployment risk management, and language model evaluation. She previously worked in cyber policy and software engineering and earned a PhD from the NYU Center for Data Science.

Staff research scientist at Google DeepMind in Cambridge, Massachusetts. His public profile says he works on translating human values and institutional constraints into tests and safeguards for foundation models.

Lucas Beyer is an ML researcher at Google DeepMind in Zurich. His public homepage highlights prior work at Google Brain and a PhD at ETH Zurich.

Research scientist at Google DeepMind interested in efficient and reliable language models, reasoning, and model security. His personal site also highlights prior work on planning, geometry, and representation learning.

Senior research scientist at Google DeepMind in Zurich working on the Gemini team.

Public report authorship links Jiaxiang Guo to the RecurrentGemma: Moving Past Transformers for Efficient Open Language Models at Google.

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

Professor of Electrical and Computer Engineering at KAUST whose research focuses on machine learning and AI, including edge intelligence, tinyML, efficient AI, and uncertainty-aware learning.

David Karamcheti is a research scientist at Google DeepMind whose public homepage highlights work on multimodal foundation models and embodied intelligence.

Ruoming Pang is listed as an author of the Google technical report RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

Research scientist at Google DeepMind focused on multimodal and embodied AI. His work covers computer vision, video understanding, and machine learning for interactive systems.

Associate professor at Polytechnique Montreal, core academic member at Mila, and CIFAR AI Chair whose research spans continual learning, reasoning, meta-learning, and reinforcement learning.

Partner Research Manager at Microsoft Research Cambridge, with official Microsoft pages describing work in artificial intelligence, computer vision, and human language technologies.

Research scientist at Google DeepMind based in Paris, focused on deep learning and computer vision.

Staff software engineer at Google specializing in machine learning model development and performance optimization for TPUs and other accelerators.

Public report authorship links Manoj Kumar to the RecurrentGemma: Moving Past Transformers for Efficient Open Language Models at Google.

Jesse Dodge is a research scientist at Meta Superintelligence Labs. His public work spans evaluation, reproducibility, efficiency, and open large language models, and his homepage says he was at the Allen Institute for AI from 2019 to 2025.

Canonical link

Trevor Cai

Yonghui Wu

Donald W. McFadden

Demis Hassabis

Yifeng Lu

Aäron van den Oord

Aleksandar Botev

Sarah Collier

Yacine Jernite

Lucas Beyer

Carl Ble

Sibylle Hess

Jiaxiang Guo

Aidan Gomez

Khalid Salama

David Karamcheti

Ruoming Pang

Mark Sandler

Sarath Chandar

Sebastian Nowozin

Matthieu Devin

Neeraj Gaur

Manoj Kumar

Jesse Dodge