Cohere

Brian Lester is a Senior Research Engineer at Google Brain and a PhD student at the University of Toronto advised by Colin Raffel. His public work focuses on efficient adaptation of large language models, including prompt tuning and related methods.

Senior research scientist at the Allen Institute for Artificial Intelligence working on natural language processing, machine learning, and reasoning on the Aristo project; previously a researcher at the University of Stuttgart.

Assistant professor at the University of Chicago and head of the Conceptualization Lab, working on language generation, communication, and large language models.

Jason Phang is a researcher at OpenAI working on the Foundations team. His homepage highlights transfer learning and natural language understanding with large-scale language models.

Research leader at Google DeepMind working on language models, retrieval-augmented generation, post-training, and factuality. His homepage highlights foundational contributions including REALM, FLAN, and Gemini factuality work.

Co-founder and CEO of Ideogram whose public homepage highlights work on self-supervised representation learning, generative modeling, and multimodal learning; previously a senior staff research scientist at Google Brain Toronto.

Head of AI at Cohere and professor at the University of Pennsylvania whose public profiles focus on natural language understanding, reasoning, and grounding.

Hyung Won Chung is a Research Scientist at OpenAI working on reasoning and agents. His public site says he previously worked at Google Brain and completed his PhD at MIT.

Trung H. Bui is a staff researcher at Cohere working on generative AI, large language models, natural language processing, machine learning, and computer vision.

Seungyoun Hong is a research scientist and postdoctoral scholar at Stanford University working on machine unlearning, data attribution, hallucination, and generalization.

Research scientist at Cohere Labs and PhD candidate at Stanford University focused on language models, machine learning systems, and AI safety.

Geri Skenderi is a research scientist at Cohere focusing on multilingual language technology, evaluation of large language models, and natural language processing for low-resource settings.

Hanlin Tang is a researcher at Cohere. His public page says his work focuses on foundation models, large language model post-training, reinforcement learning, and vision-language or language-model agents, and that he previously held research internships at NVIDIA and the Vector Institute.

Luca Soldaini is a lead research scientist at Ai2 on the Olmo team. He previously worked at Amazon Alexa and completed a PhD in computer science at Georgetown University in 2018.

Stanislas Polu is Co-Founder and Engineer at Dust. His public site also documents earlier work at OpenAI, Stripe, and projects in theorem proving, browsers, and Bitcoin-related systems.

Assistant Professor of Computer Science at Johns Hopkins University working on helpful, reliable, and efficient language-driven AI systems. Previously a postdoctoral researcher at the Allen Institute for AI.

Research scientist at Cohere focused on scaling machine learning systems and improving training efficiency.

Alejandro Lopez-Lira is an assistant professor of finance at the University of Florida whose research interests include investments, machine learning, and empirical asset pricing.

Dibya Ghosh is a machine learning researcher at Cohere and a PhD student in computer science at UC Berkeley advised by Sergey Levine. His work spans reinforcement learning and large language models, with a focus on how foundation models can improve learning agents.

Diyi Yang is an assistant professor of computer science at Stanford University. Her research focuses on natural language processing and machine learning, especially human-centered AI, social computing, and computational social science. She earned her PhD in language technologies from Carnegie Mellon University.

Lewis Tunstall is a principal scientist at Cohere Labs who works on open-source language models, evaluation, and multilingual NLP.

Associate Professor in Natural Language Processing at the University of Bergen whose work focuses on bias and fairness in NLP, information extraction, summarization, and under-resourced languages.

Xiang Lisa Li is a researcher focused on controllable and steerable language models. Her public profile highlights work including Diffusion-LM, Prefix-Tuning, Contrastive Decoding, and evaluation methods such as AutoBencher.

Research scientist at Cohere working on large language models; previously a postdoctoral researcher in machine learning at Carnegie Mellon University.

Brian Lester

Kyle Richardson

Ari Holtzman

Jason Phang

Kelvin Guu

Mohammad Norouzi

Dan Roth

Hyung Won Chung

Trung H. Bui

Seungyoun Hong

Sydney Z. Li

Geri Skenderi

Hanlin Tang

Luca Soldaini

Stanislas Polu

Daniel Khashabi

Quinten Anthony

Alejandro Lopez-Lira

Dibya Ghosh

Diyi Yang

Lewis Tunstall

Samia Touileb

Xiang Lisa Li

Zhen Qin