DR-Tulu Deep Research Demo
DR-Tulu is the first open deep research model trained for open-ended, long-form research using Reinforcement Learning with Evolving Rubrics.
See DR-Tulu in Action
Explore example research outputs across different domains
Authors
* Joint first authors
Rulin Shao*
University of Washington
Akari Asai*
Allen Institute for AI, Carnegie Mellon University
Shannon Zejiang Shen*
Massachusetts Institute of Technology
Hamish Ivison*
University of Washington, Allen Institute for AI
Varsha Kishore
University of Washington, Allen Institute for AI
Jingming Zhuo
University of Washington
Xinran Zhao
Carnegie Mellon University
Molly Park
University of Washington
Samuel Finlayson
University of Washington, Seattle Children's Hospital
David Sontag
Massachusetts Institute of Technology
Tyler Murray
Allen Institute for AI
Sewon Min
Allen Institute for AI, University of California, Berkeley
Pradeep Dasigi
Allen Institute for AI
Luca Soldaini
Allen Institute for AI
Faeze Brahman
Allen Institute for AI
Wen-tau Yih
University of Washington
Tongshuang Wu
Carnegie Mellon University
Luke Zettlemoyer
University of Washington
Yoon Kim
Massachusetts Institute of Technology
Hannaneh Hajishirzi
University of Washington, Allen Institute for AI
Pang Wei Koh
University of Washington, Allen Institute for AI