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Saadia Gabriel
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2020 – today
- 2024
- [j1]Xuhai Xu
, Bingsheng Yao
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 31:1-31:32 (2024) - [c14]Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi:
Can AI Relate: Testing Large Language Model Response for Mental Health Support. EMNLP (Findings) 2024: 2206-2221 - [c13]Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar:
MisinfoEval: Generative AI in the Era of "Alternative Facts". EMNLP 2024: 8566-8578 - [c12]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. EMNLP (Findings) 2024: 13060-13077 - [i14]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 abs/2402.10965 (2024) - [i13]Saadia Gabriel, Isha Puri, Xuhai Xu, Matteo Malgaroli, Marzyeh Ghassemi:
Can AI Relate: Testing Large Language Model Response for Mental Health Support. CoRR abs/2405.12021 (2024) - [i12]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 abs/2407.00369 (2024) - 2023
- [i11]Katherine Deng, Arijit Ray, Reuben Tan, Saadia Gabriel, Bryan A. Plummer, Kate Saenko:
Socratis: Are large multimodal models emotionally aware? CoRR abs/2308.16741 (2023) - 2022
- [c11]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: 3108-3127 - [c10]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: 3309-3326 - [c9]Saadia Gabriel, Hamid Palangi, Yejin Choi:
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP (Findings) 2022: 5635-5645 - [i10]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 abs/2203.09509 (2022) - [i9]Saadia Gabriel, Hamid Palangi, Yejin Choi:
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? CoRR abs/2211.04364 (2022) - 2021
- [c8]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI 2021: 12857-12865 - [c7]Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
GO FIGURE: A Meta Evaluation of Factuality in Summarization. ACL/IJCNLP (Findings) 2021: 478-487 - [c6]Saadia Gabriel, Antoine Bosselut
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL 2021: 435-447 - [i8]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 abs/2104.08790 (2021) - 2020
- [c5]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: 378-385 - [c4]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: 5477-5490 - [i7]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 abs/2004.12819 (2020) - [i6]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR abs/2010.01486 (2020) - [i5]Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
Go Figure! A Meta Evaluation of Factuality in Summarization. CoRR abs/2010.12834 (2020)
2010 – 2019
- 2019
- [c3]Maarten Sap, Dallas Card
The Risk of Racial Bias in Hate Speech Detection. ACL (1) 2019: 1668-1678 - [c2]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
EARLY FUSION for Goal Directed Robotic Vision. IROS 2019: 1025-1031 - [c1]Aida Amini
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. NAACL-HLT (1) 2019: 2357-2367 - [i4]Aida Amini
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. CoRR abs/1905.13319 (2019) - [i3]Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR abs/1907.01272 (2019) - [i2]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 abs/1911.03891 (2019) - 2018
- [i1]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
Early Fusion for Goal Directed Robotic Vision. CoRR abs/1811.08824 (2018)
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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