Faeze Brahman.
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 Prof. Yejin Choi. Prior to this, I did my Ph.D. (2022) in Computer Science at the University of California, Santa Cruz, working with Prof. 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 natural language understanding and generation with the long-term goal of instilling human-like communication, commonsense knowledge, and reasoning capabilities in machines. My current research interests include (controllable) text generation, (social) commonsense reasoning, and unsupervised learning.
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
Oct 2022: 4 papers accepted to EMNLP 2022 (2 main, 2 findings). Stay tuned !
Oct 2022: New preprint with my intern on Information-theoretic Evaluation of Free-Text Rationales !
July 2022: Co-organized the 4th successful workshop on Narrative Understanding at NAACL 2021 (Seattle)!
May 2022: New preprint on maieutic prompting for logically consistent reasoning!
April 2022: Joined AI2 as a young investigator working with Yejin Choi!
Jan 2022: Talk at The University of British Columbia!
Jan 2022: Talk at The University of Southern California!
Nov 2021: Co-organizing the 4th edition of Narrative Understanding workshop to be collocated with NAACL 2022.
Sept 2021: I've been awarded the Jack Baskin School of Engineering 2021 Sabbatical Fellowship!
June 2021: I will be interning with Michel Galley and Jianfeng Gao at Microsoft Research (MSR) in Redmond!
Nov 2020: Our paper Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision has been accepted to AAAI 2021! Work done during my internship @ AI2!
Nov 2020: I am co-organizing a workshop with Snigdha Chaturvedi, Mohit Iyyer, Elizabeth Clark, Lara J. Martin, and Nader Akoury on Narrative Understanding @ NAACL 2021.
Sept 2020: Our long paper on Modeling Protagonist Emotions for Emotion-Aware Storytelling has been accepted to EMNLP 2020!
Sept 2020: I successfully advanced to candidacy. Officially a Ph.D. candidate now!
June 2020: Excited to join the MOSAIC team at Allen Institute of AI as a research intern this summer. Looking forward to new collaborations.
June 2020: Our poster on Multi-task Learning has been accepted into the 2020 ACM Richard Tapia Celebration of Diversity in Computing.
May 2020: Our paper on ''Effective Forum Curation via Multi-task Learning'' has been accepted at the 13th International Conference on Educational Data Mining (EDM) 2020.
Oct 2019: Attending GHC 2019 (October 1-5) in Florida.
Sept 2019: Attending and presenting my poster at SoCal NLP Symposium at USC!
June 2019: Attending NAACL 2019 (June 2-7) in Minneapolis, MN.
May 2019: Very excited to announce that I have been awarded GHC scholarship to attend the Grace Hopper Celebration in Florida!
May 2019: Won the 2nd prize for poster competition at UCSC Data Science Day !April 2019: Won a travel grant to participate in the CRA-W Grad Cohort for Women Workshop (April 11-13) in Chicago, IL!
April 2019: Awarded the UCSC Women's Club and the Marilyn C. Davis Scholarship Fund!
March 2019: Our paper on ''Automatic Story Generation With Human-in-the-Loop'' has been accepted to appear at NAACL 2019 Workshop on Narrative Understanding (WNU) .
December 2018: Graduated with a master in Computer Science from UCSC!
June 2018: Joining Xerox PARC as an intern!