Faeze Brahman
Postdoctoral Researcher. AI2|UW
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. I am also excited in inference-time algorithms and alignment in general. Please feel free to get in touch if you want to chat, collaborate or brainstorm!
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 on Creativity and Constrained Problem Solving! slides |
| Apr, 2024 | Macgyver led by my intern Yufei Tian was accepted at NAACL 2024. |
| Apr, 2024 | Invited talk at UBC NLP Group on Creativity and Constrained Problem Solving! slides |
| 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)! |