H2Lab @ UW

Our lab’s goal is to develop general-purpose AI algorithms that represent, comprehend, and reason about diverse forms of data at large scale. We publish at NLP conferences (ACL, NAACL, EMNLP), AI and ML conferences (AAAI, ICLR), and Computer vision conferences (CVPR, ICCV, ECCV). Toward this end, our lab focuses on research efforts to address foundational problems in AI and NLP. We build algorithms that balance three competing desiderata: interpretable, robust with high performance, and efficient and scalable in the following categories:
Congratulations to Prof. Hanna Hajishirzi for being promoted as full professor!
Molmo received best paper honorable mention at CVPR 2025.
Sewon Min received ACM dissertation award honorable mention, and ACL dissertation award.
Congratulations to Dr. Akari Asai for successfully defending her Ph.D.