PaLM: Scaling Language Modeling with Pathways

Research Scientist at OpenAI focused on reasoning and agents. Previously at Google Brain, he worked on T5X, PaLM, Flan-PaLM, and Flan-T5, and he earned a PhD at MIT.

Aakanksha Chowdhery is a machine learning researcher based in New York City. She works on large-scale machine learning across pre-training, post-training, inference, and system efficiency, and is known for contributions such as PaLM, Pathways, and Gemini.

Sebastian Gehrmann leads Responsible AI in the office of the CTO at Bloomberg and works on natural language generation, model evaluation, and interpretability.

Researcher at Meta whose public OpenReview profile lists previous research roles at Google and Baidu.

Jacob Devlin is a research scientist at Google DeepMind whose work focuses on language models, long-context modeling, and tool use.

Research scientist at Google DeepMind whose work focuses on pre-training, post-training, and reasoning for large language models.

Research scientist at Google Research whose public work spans language modeling and multimodal generation; arXiv author results include PaLM and PaLM 2.

Professor at Carnegie Mellon University whose public research spans machine learning and natural language processing; arXiv author results include the PaLM paper.

Researcher working on large language model scaling and evaluation, including Google PaLM.

Research scientist at Google DeepMind working on machine learning and natural language processing.

Research scientist at Google DeepMind working on large language models and artificial intelligence, based on his public OpenReview profile.

Research Scientist at Google working on making language models more factual and controllable.

Abhishek Rao is a Research Scientist at Google DeepMind working on machine learning and natural language processing, with interests including structured prediction, reasoning, compositionality, and controllable generation. He has contributed to large language model research including PaLM.

Research scientist at Google DeepMind working on natural language understanding and machine learning.

Chris Alberti's Google Research profile lists natural language processing and speech processing as his research areas, and his OpenReview profile lists him as a researcher at Google.

Public report authorship links Danielle Epstein to the PaLM: Scaling Language Modeling with Pathways at Google.

Distinguished engineer on Google's Gemini LLM team working on machine learning systems, generative AI, and data center infrastructure.

Thibault Biervoye is a Research Scientist at Google DeepMind focused on large language models, memory-augmented transformers, and knowledge transfer.

Research scientist at Google Research whose public work spans multilingual and large-scale language modeling; arXiv author results include the PaLM paper.

Public report authorship links Yuqi Zhou to the PaLM: Scaling Language Modeling with Pathways at Google.

Public report authorship links Mingxing Zhang to the Gemma 3n Technical Report at Google.

Research leader at Google DeepMind and Google Research focused on natural language processing and machine learning, including large language models such as PaLM and Gemini.

Senior Staff Software Engineer at Google working on machine intelligence, data management, and large-scale machine learning systems.

Sebastian Lee is listed as an author of the Google technical report PaLM: Scaling Language Modeling with Pathways.

Canonical link

Hyung Won Chung

Aakanksha Chowdhery

Sebastian Gehrmann

Sharan Narang

Jacob Devlin

Maarten Bosma

Adam Roberts

Charles Sutton

Parker Schuh

Kensen Shi

Sasha Tsvyashchenko

Joshua Maynez

Abhishek Rao

Kateryna Gashteovski

Chris Alberti

Danielle Epstein

Dmitriy Lepikhin

Thibault Biervoye

Orhan Firat

Yuqi Zhou

Mingxing Zhang

Slava Petrov

Heng-Tze Cheng

Sebastian Lee