Yejin Choi
Yejin Choi
University of Washington / Allen Institute for Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
The curious case of neural text degeneration
A Holtzman, J Buys, L Du, M Forbes, Y Choi
arXiv preprint arXiv:1904.09751, 2019
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
X Li, X Yin, C Li, P Zhang, X Hu, L Zhang, L Wang, H Hu, L Dong, F Wei, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Finding deceptive opinion spam by any stretch of the imagination
M Ott, Y Choi, C Cardie, JT Hancock
arXiv preprint arXiv:1107.4557, 2011
Babytalk: Understanding and generating simple image descriptions
G Kulkarni, V Premraj, V Ordonez, S Dhar, S Li, Y Choi, AC Berg, TL Berg
IEEE transactions on pattern analysis and machine intelligence 35 (12), 2891 …, 2013
Hellaswag: Can a machine really finish your sentence?
R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi
arXiv preprint arXiv:1905.07830, 2019
Neural motifs: Scene graph parsing with global context
R Zellers, M Yatskar, S Thomson, Y Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Truth of varying shades: Analyzing language in fake news and political fact-checking
H Rashkin, E Choi, JY Jang, S Volkova, Y Choi
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
Defending against neural fake news
R Zellers, A Holtzman, H Rashkin, Y Bisk, A Farhadi, F Roesner, Y Choi
Advances in neural information processing systems 32, 2019
Winogrande: An adversarial winograd schema challenge at scale
K Sakaguchi, RL Bras, C Bhagavatula, Y Choi
Communications of the ACM 64 (9), 99-106, 2021
COMET: Commonsense transformers for automatic knowledge graph construction
A Bosselut, H Rashkin, M Sap, C Malaviya, A Celikyilmaz, Y Choi
arXiv preprint arXiv:1906.05317, 2019
Atomic: An atlas of machine commonsense for if-then reasoning
M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3027-3035, 2019
Vinvl: Revisiting visual representations in vision-language models
P Zhang, X Li, X Hu, J Yang, L Zhang, L Wang, Y Choi, J Gao
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
The risk of racial bias in hate speech detection
M Sap, D Card, S Gabriel, Y Choi, NA Smith
Proceedings of the 57th annual meeting of the association for computational …, 2019
QuAC: Question answering in context
E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer
arXiv preprint arXiv:1808.07036, 2018
From recognition to cognition: Visual commonsense reasoning
R Zellers, Y Bisk, A Farhadi, Y Choi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Realtoxicityprompts: Evaluating neural toxic degeneration in language models
S Gehman, S Gururangan, M Sap, Y Choi, NA Smith
arXiv preprint arXiv:2009.11462, 2020
Piqa: Reasoning about physical commonsense in natural language
Y Bisk, R Zellers, J Gao, Y Choi
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7432-7439, 2020
Swag: A large-scale adversarial dataset for grounded commonsense inference
R Zellers, Y Bisk, R Schwartz, Y Choi
arXiv preprint arXiv:1808.05326, 2018
OpinionFinder: A system for subjectivity analysis
T Wilson, P Hoffmann, S Somasundaran, J Kessler, J Wiebe, Y Choi, ...
Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, 34-35, 2005
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