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2020 – today
- 2023
[c4]Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach:
FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) 2023: 6231-6251- [i2]Ahmed Magooda
, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla, Emily Sheng, Dan Vann, Richard Edgar, Hamid Palangi, Roman Lutz, Hongliang Kong, Vincent Yun, Eslam Kamal, Federico Zarfati, Hanna M. Wallach, Sarah Bird, Mei Chen:
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. CoRR abs/2310.17750 (2023) - 2021
- [c3]Stojan Trajanovski, Chad Atalla, Kunho Kim, Vipul Agarwal, Milad Shokouhi, Chris Quirk:
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages. NAACL-HLT (Industry Papers) 2021: 1-9
2010 – 2019
- 2019
- [c2]Chad Atalla, Amanda Song, Garrison W. Cottrell:
Modifying social dimensions of human faces with ModifAE. CogSci 2019: 105-111 - 2017
- [c1]Amanda Song, Linjie Li, Chad Atalla, Gary Cottrell:
Learning to See People like People: Predicting Social Perceptions of Faces. CogSci 2017 - [i1]Amanda Song, Linjie Li, Chad Atalla, Garrison W. Cottrell:
Learning to see people like people. CoRR abs/1705.04282 (2017)
Coauthor Index
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