| The curious case of neural text degeneration A Holtzman, J Buys, L Du, M Forbes, Y Choi arXiv preprint arXiv:1904.09751, 2019 | 4408 | 2019 |
| Hellaswag: Can a machine really finish your sentence? R Zellers, A Holtzman, Y Bisk, A Farhadi, Y Choi arXiv preprint arXiv:1905.07830, 2019 | 3562 | 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, ... European conference on computer vision, 121-137, 2020 | 2652 | 2020 |
| Clipscore: A reference-free evaluation metric for image captioning J Hessel, A Holtzman, M Forbes, R Le Bras, Y Choi Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 2471 | 2021 |
| 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 | 2470 | 2020 |
| 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, ... Transactions on machine learning research, 2023 | 2213 | 2023 |
| 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 | 2128 | 2021 |
| Finding deceptive opinion spam by any stretch of the imagination M Ott, Y Choi, C Cardie, JT Hancock arXiv preprint arXiv:1107.4557, 2011 | 2083 | 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 | 1791 | 2013 |
| Realtoxicityprompts: Evaluating neural toxic degeneration in language models S Gehman, S Gururangan, M Sap, Y Choi, NA Smith arXiv preprint arXiv:2009.11462, 2020 | 1744 | 2020 |
| 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 | 1554 | 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 | 1379 | 2021 |
| 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 | 1367 | 2018 |
| 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 | 1355 | 2019 |
| 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 | 1299 | 2017 |
| 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 | 1285 | 2019 |
| Socialiqa: Commonsense reasoning about social interactions M Sap, H Rashkin, D Chen, R LeBras, Y Choi arXiv preprint arXiv:1904.09728, 2019 | 1268 | 2019 |
| 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 | 1218 | 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 | 1206 | 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 | 1087 | 2018 |
Maarten SapCarnegie Mellon UniversityVerified email at cmu.edu
