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Yejin Choi
Yejin Choi
University of Washington / Allen Institute for Artificial Intelligence
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
The curious case of neural text degeneration
A Holtzman, J Buys, L Du, M Forbes, Y Choi
arXiv preprint arXiv:1904.09751, 2019
28602019
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
20142020
Finding deceptive opinion spam by any stretch of the imagination
M Ott, Y Choi, C Cardie, JT Hancock
arXiv preprint arXiv:1107.4557, 2011
18882011
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
16542013
Hellaswag: Can a machine really finish your sentence?
R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi
arXiv preprint arXiv:1905.07830, 2019
13352019
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
11522021
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
10812018
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
10692019
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
10612017
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
10492019
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
9992022
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
9862021
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
9672020
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
9652019
Realtoxicityprompts: Evaluating neural toxic degeneration in language models
S Gehman, S Gururangan, M Sap, Y Choi, NA Smith
arXiv preprint arXiv:2009.11462, 2020
9522020
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
9402019
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
9292019
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
9262018
Clipscore: A reference-free evaluation metric for image captioning
J Hessel, A Holtzman, M Forbes, RL Bras, Y Choi
arXiv preprint arXiv:2104.08718, 2021
8972021
Swag: A large-scale adversarial dataset for grounded commonsense inference
R Zellers, Y Bisk, R Schwartz, Y Choi
arXiv preprint arXiv:1808.05326, 2018
8062018
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