I'm a 5th year PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. I am advised by Prof. Yejin Choi. My research area is natural language understanding and generation. I'm excited about machine learning techniques and deep-learning models for social commonsense and logical reasoning in text. Previously I interned at SRI, in the Mosaic group at AI2 and MSR.
July 2022: Socio-Cultural Inclusion co-chair for NAACL 2022.
April 2022: Invited talk at Cornell.
February 2022: Two papers accepted to ACL 2022 main conference!
February 2022: Darpa Semafor talk/keynote on Misinfo Reaction Frames.
December 2021: Invited talk at Stanford.
October 2021: Presenting at MIT EECS Rising Stars Workshop.
July 2021: Co-organizing Safety for E2E Conversational AI at SIGDIAL 2021.
May 2021: Work on evaluating effectiveness of factuality metrics for summarization (GO FIGURE) accepted to ACL 2021 Findings!
April 2021: New preprint on defending against misinformation.
January 2021: Invited talk at UMass Amherst.
December 2020: Paragraph-level Commonsense Transformers accepted to AAAI 2021.
Presenting at NeurIPS 2020 Resistance AI Workshop.
October 2020: Presented on Social and Power Implications of Language at UW colloquium.
September 2020: Presented on summarization with cooperative generator-discriminator networks and detection of implicit social biases in text at BBN Technologies.
July 2020: Presented as part of Voice Tech Global panel on implicit bias towards the Black community and conversational AI.
Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi.
ACL 2022.
[Paper][Data/Models]
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar.
ACL 2022.
Paper coming soon!
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao.
ACL 2021 Findings.
[Paper]
Discourse Understanding and Factual Consistency in Abstractive Summarization
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi.
EACL 2021.
[Paper]
Paragraph-level Commonsense Transformers with Recurrent Memory
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi.
AAAI 2021.
[Paper] [Project Page]
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler.
AAAI 2020.
[Paper]
The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith.
ACL 2019. Best Paper Nominee.
[Paper]
Early Fusion for Goal Directed Robotic Vision
Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox.
IROS 2019. Best Paper Nominee.
[Paper]
I am supported by a ARCS Foundation Fellowship, David Notkin Endowed Graduate Fellowship and a Google-Leap Dissertation Fellowship.