Scholar
Faeze Brahman
Google Scholar ID: viCG2ikAAAAJ
Research Scientist; Allen Institute for AI (Ai2)
Citations & Impact
Citations
2,546
H-index
24
i10-index
29
Publications
20
Co-authors
16
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Multiple papers accepted at top conferences such as ICLR 2025 and NAACL 2025. Served as an Area Chair for COLING 2025 and a Senior Area Chair for NAACL 2024. Delivered keynote talks at several international conferences. Research work has been featured in GreekWire and TechCrunch.
Research Experience
- Currently a research scientist at Allen Institute for AI. Previously, a post-doctoral researcher at Allen Institute for AI and the University of Washington, working with Yejin Choi. Interned at Microsoft Research on controllable grounded text generation and at Allen Institute for AI on unsupervised rationale generation for non-monotonic reasoning.
Education
- Ph.D. (2022) in Computer Science from the University of California, Santa Cruz, under the supervision of Snigdha Chaturvedi; Master's degree (2018) in Computer Science; Bachelor's degree (2014) in Electrical Engineering; another Bachelor's degree (2012) in Electrical Engineering.
Background
- Research interests include understanding language model's capabilities and limitations, particularly in unseen or changing situations; developing efficient algorithms to address these limitations, including better design for collaborative strategies and HCI interfaces to combine the best of human and AI abilities. Additionally, investigating LLM behaviors as a function of training data and alignment strategies to build more reliable and safe human-centered AI systems, and developing robust and meaningful evaluation frameworks to investigate the emergent behaviors of LLMs.
Miscellany
- Feel free to get in touch if you want to chat, collaborate, or brainstorm!
