OLMo: Accelerating the Science of Language Models

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.

Senior research scientist at Ai2 working on natural language processing, machine learning, and reasoning for the Aristo project; previously a researcher at the Institute for Natural Language Processing at the University of Stuttgart.

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

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

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.

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.

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.

Peter Clark is Senior Director for AI at the Allen Institute for Artificial Intelligence (Ai2), where he works on natural language understanding, reasoning, and question answering.

Research scientist at Ai2 working on language models and open research infrastructure. His interests include natural language processing, machine learning, and building reliable open-source systems.

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.

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 at Microsoft.

Research scientist at Ai2 and PhD student at UC Berkeley working on language models, multilingual NLP, and evaluation.

Professor at the University of Washington whose public research spans NLP, machine learning, and semantic parsing; arXiv author results include OLMo and OLMo 2.

Lead of OLMo, AI2's open-source frontier language models, and Associate Director of the OLMo team at the Allen Institute for AI.

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

Research scientist at Google Research working on question answering, reasoning, and natural language processing.

Senior research scientist at Ai2 and associate professor at Yale working on long-form language understanding, information retrieval, and scientific NLP.

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

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

Research scientist on the Gemini team at Google DeepMind working on improving efficiency and accessibility in machine learning.

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