Saadia Gabriel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

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Top Venues

Publications

Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi
Can AI Relate: Testing Large Language Model Response for Mental Health Support. CoRR (2024)
Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR (2024)
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James A. Hendler, Marzyeh Ghassemi, Anind K. Dey, Dakuo Wang
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8 (1) (2024)
Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model. CoRR (2024)
Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko
Socratis: Are large multimodal models emotionally aware? CoRR (2023)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. ACL (1) (2022)
Saadia Gabriel, Hamid Palangi, Yejin Choi
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? CoRR (2022)
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. ACL (1) (2022)
Saadia Gabriel, Hamid Palangi, Yejin Choi
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP (Findings) (2022)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. CoRR (2022)
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI (2021)
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
GO FIGURE: A Meta Evaluation of Factuality in Summarization. ACL/IJCNLP (Findings) (2021)
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi
Misinfo Belief Frames: A Case Study on Covid & Climate News. CoRR (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR (2020)
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. CoRR (2020)
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. AAAI (2020)
Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao
Go Figure! A Meta Evaluation of Factuality in Summarization. CoRR (2020)
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL (2020)
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR (2019)
Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox
EARLY FUSION for Goal Directed Robotic Vision. IROS (2019)
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith
The Risk of Racial Bias in Hate Speech Detection. ACL (1) (2019)
Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. CoRR (2019)
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR (2019)
Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. NAACL-HLT (1) (2019)
Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox
Early Fusion for Goal Directed Robotic Vision. CoRR (2018)