Tulu 3: Pushing Frontiers in Open Language Model Post-Training

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.

PhD student at the University of Washington advised by Luke Zettlemoyer and researcher at Ai2. His work focuses on open language models, instruction tuning, data curation, and evaluation.

Postdoctoral researcher at the Allen Institute for AI and the University of Washington whose work focuses on open language model post-training, steerability, and evaluation.

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.

Yuling Gu is a PhD student at the NYU Center for Data Science studying large language models, machine reasoning, and robust evaluation. She was previously a predoctoral researcher at the Allen Institute for AI, where she contributed to OLMo, OLMo 2, OLMo 3, TULU 3, OLMoE, and OLMES.

Research scientist at Ai2 focused on language models, evaluation, and AI safety. Her work studies reasoning, truthfulness, and how to make large models more reliable.

PhD student at the University of Washington and Student Researcher at Ai2 working on aligning language models and making them more useful.

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.

Machine learning researcher and PhD student at the University of Cambridge focused on multilingual and equitable NLP, especially for low-resource languages such as Filipino. He previously worked on open language model efforts at Ai2 including Tulu 3 and OLMo 2.

Saumya Malik is an incoming postdoctoral scholar at Johns Hopkins University and recently completed a PhD in the Machine Learning Department at Carnegie Mellon University. Her interests include interpretability, evaluation, reward learning, and language model agents.

Research Scientist at Ai2 focused on natural language processing, reasoning, and grounded commonsense understanding.

Senior research scientist at Ai2 and project lead of OLMoE, working on language models, reasoning, and alignment.

Research scientist at the Allen Institute for AI (Ai2) whose work focuses on natural language understanding and commonsense reasoning.

Research scientist at Ai2 specializing in open language models, reasoning, and multi-agent systems.

Research scientist at the Allen Institute for AI and PhD candidate in computer science at the University of Washington. Her public profiles focus on language agents, reasoning, and retrieval-augmented language models.

Machine learning scientist at Ai2 working on reinforcement learning, language models, and online social systems.

Jacob Morrison is a researcher whose work spans language model post-training, alignment, and evaluation. His public research page highlights projects including Tulu 2, Tulu 3, OLMo 2, and RewardBench.

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 Ai2 whose work focuses on natural language processing, semantic parsing, grounded language understanding, and question answering.

Shane Lyu is a PhD student in Electrical and Computer Engineering and Machine Learning at Carnegie Mellon University. He is advised by Ruslan Salakhutdinov and Viraj Prabhu and works on machine learning research.

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