Faeze Brahman

Postdoctoral Researcher. AI2|UW

prof_pic.jpg

Allen Institute for AI

Seattle, WA

I am a post-doctoral researcher at Allen Institute for AI and the Paul G. Allen School of Computer Science & Engineering at the University of Washington working with Yejin Choi. Prior to this, I did my Ph.D. (2022) in Computer Science at the University of California, Santa Cruz, working with Snigdha Chaturvedi. I hold a master degree (2018) in Computer Science and a master (2014) and bachelor (2012) degree in Electrical Engineering.

I am broadly interested in understanding language model’s capabilities and limitations in reasoning tasks and developing algorithms to address these limitations. More recently, I started caring about building Human-centered AI system that are more safe, reliable and efficient.

Previously, I interned at Microsoft Research, working on controllable grounded text generation; and at AI2, working on unsupervised rationale generation for non-monotonic reasoning.

news

Jul, 2024 New paper on Contextual Noncompliance 🥥!
Jul, 2024 New papers on WildTeaming at Scale and WildBench 🦁!
May, 2024 I will be attending ICLR’24 in 🇦🇹 Vienna to present 3 papers! Check them out here
May, 2024 Invited talk at Bocconi University! ✈️
Apr, 2024 Macgyver led by my intern Yufei Tian was accepted at NAACL 2024.
Apr, 2024 Invited talk at UBC NLP Group! 🚗
Oct, 2023 I’m honored to serve as a Senior Area Chair for NAACL 2024!
Oct, 2023 Our workshop on Narrative Understanding is accepted to EMNLP 2024!
May, 2023 REV, led by our intern Hanjie Chen is accepted at ACL 2023!
Mar, 2023 Talk at UMass NLP seminars!
Feb, 2023 Guest lectures at the University of Washington (CSE 599)!

selected publications