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!

Publications

You can also find my papers on my Semantic Scholar Profile or my Google Scholar profile.


Preprints

REV: Information-Theoretic Evaluation of Free-Text Rationales
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
In Submission
[preprint]


Generating Sequences by Learning to [Self-]Correct
Sean Welleck*, Ximing Lu*, Peter West+, Faeze Brahman+, Tianxiao Shen, Daniel Khashabi, Yejin Choi
In Submission
(* co-first authors, + co-second authors)
[preprint]


2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
In Proceedings of EMNLP 2022.
[preprint]


Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation
Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao
In Findings of EMNLP 2022.


Towards Inter-character Relationship-driven Story Generation
Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi
In Proceedings of EMNLP 2022.


[preprint]


NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
In Findings of EMNLP 2022.


Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
In Findings of NAACL 2022.
[preprint]


Modeling Key Narrative Elements for Story Understanding and Generation
Faeze Brahman
PhD Thesis, University of California Santa Cruz
[Abstract]


2021

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
In Findings of EMNLP 2021.
[paper] [data]


Is Everything in Order? A Simple Way to Order Sentences
Somnath Basu Roy Chowdhury*, Faeze Brahman*, Snigdha Chaturvedi
In Proceedings of EMNLP 2021.
(*equal contribution)
[paper] [code] [poster]


Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
In Findings of EMNLP 2021.
[paper]


Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman, Vered Shwartz, Rachel Rudinger and Yejin Choi
In Proceedings of AAAI 2021.
[paper] [code] [slides]


PARSINLU: A Suite of Language Understanding Challenges for Persian
Daniel Khashabi et al.
In Transaction of TACL 2021.
[paper] [data & code]


2020

Modeling Protagonist Emotions for Emotion-Aware Storytelling
Faeze Brahman, Snigdha Chaturvedi
In Proceedings of EMNLP 2020.
[paper] [code] [slides] [video]


Cue Me In: Content-Inducing Approaches to Interactive Story Generation
Faeze Brahman, Alenxandru Petrusca and Snigdha Chaturvedi
In Proceedings of AACL 2020.
[paper] [slides]


Towards Emotion-Aware Storytelling Using Reinforcement Learning
Faeze Brahman, Snigdha Chaturvedi
NeurIPS 2020 Workshop, Wordplay: When Language Meets Games


Effective Forum Curation via Multi-task Learning
Faeze Brahman, Nikhil Varghese, Suma Bhat and Snigdha Chaturvedi
In Proceedings of EDM 2020.
[paper]


2019

Automatic Story Generation with Human-in-the-Loop
Faeze Brahman, Alexandru Petrusca, and Snigdha Chaturvedi
NAACL-HLT 2019 Workshop on Narrative Understanding (NUSE 2019)


2015 and before

F. Brahman, M. Honarmand, and S. Jadid. Optimal Electrical and Thermal Energy Management of a Residential Energy Hub, Integrating Demand Response and Energy Storage System, Journal of Energy and Building, Volume 90, 1 March 2015, Pages 65-75. [pdf]


S. Esmaeili, B. Vahidi, M. Parvizimosaed and F. Brahman. Development of a Thermal and Electrical Energy Management System in Residential Building Micro-Grid, Journal of Renewable and Sustainable Energy, Jan. 2013. [pdf]


F. Brahman and S. Jadid. Optimal Energy Management of Hybrid CCHP and PV in a Residential Building,"in Proceedings of EPDC 2014 [pdf]

Contact

Email: faezeb [at] allenai [dot] org

Address: 2157 N Northlake Way
Seattle, WA 98103