OLMo: Accelerating the Science of Language Models

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.

Research scientist at Ai2 working on language model pre-training, adaptation, and alignment.

Lead research scientist at Ai2 and a founding member of the OLMo team. He works on open language models, language agents, evaluation, and reasoning, and helps build open-model research infrastructure.

Ai2 engineer whose public GitHub and Hugging Face profiles describe him as building LLMs at Ai2; he is also listed on OpenReview as an OLMo author.

Senior research scientist at Ai2 and affiliate assistant professor at the University of Washington.

Shane Arora is a research scientist at Ai2. His The Org profile identifies that current role, and his OpenReview profile records earlier work as a senior applied scientist at Amazon as well as bachelor's and master's degrees in computer science from the University of Texas at Austin.

Research scientist at Ai2 and PhD candidate at the University of Washington. Her work focuses on language models, evaluation, and building practical open-source AI systems.

Senior research scientist at Ai2 and affiliate associate professor at the University of Washington, with work spanning NLP, machine reading, and reasoning.

Luke Zettlemoyer works on empirical methods for natural language semantics, machine learning, new tasks and datasets, and self-supervision for pre-training.

CEO of the Allen Institute for AI and professor of computer science at the University of Washington. His work spans computer vision, multimodal learning, reasoning, and embodied AI.

Noah A. Smith is a computer scientist and professor at the University of Washington, where he serves as Vice Provost for Artificial Intelligence and co-directs the OLMo open language modeling effort with Ai2. His research focuses on natural language processing, machine learning, and evaluation methodology.

Professor at the University of Washington and Senior Director of NLP at AI2. Her work spans natural language processing, computer vision, responsible AI, and applications to science and medicine.

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.

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.

Iz Beltagy is an NLP researcher known for work on OLMo, Longformer, SciBERT, and other open language technologies. His public profile highlights research on open language models, scientific NLP, and long-context modeling.

Research scientist at Ai2 whose research interests include language grounding and visual understanding.

Final-year PhD candidate at the University of Washington whose public research focuses on evaluation, uncertainty, and multimodal grounding in language models; her arXiv author results include OLMo and OLMES papers.

Yizhong Wang is a research scientist at the Allen Institute for AI and incoming assistant professor at the University of Washington whose work focuses on language models, agents, reasoning, and open-source AI.

Research scientist at AI2; previously a machine learning engineer at Koko, where he worked on safety systems for language models.

Assistant professor at Carnegie Mellon University and scientist at Ai2, working on natural language processing and machine learning with a focus on grounding, multilinguality, and robustness.

Researcher whose public work spans NLP, reasoning, and evaluation; arXiv author results include OLMo and related language model work.

Zejiang Shen is a research scientist at the Allen Institute for AI whose interests include representation learning, generative AI, and multimodal learning.

PhD student in computer science at Stanford University working on natural language processing and machine learning.

Hyunewoo Cho is listed as an author of the Ai2 technical report OLMo: Accelerating the Science of Language Models.

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Jesse Dodge

Pete Walsh

Luca Soldaini

Dirk Groeneveld

Kyle Lo

Shane Arora

Akshita Bhagia

Oyvind Tafjord

Luke Zettlemoyer

Ali Farhadi

Noah A. Smith

Hannaneh Hajishirzi

Kyle Richardson

Chris Alberti

Iz Beltagy

Spencer Kinney

Emily Schwenk

Yizhong Wang

Isaac MacMillan

Abhilasha Ravichander

Bhavana Dalvi

Zejiang Shen

Zhaofeng Wu

Hyunewoo Cho