| Breaking NLI systems with sentences that require simple lexical inferences M Glockner, V Shwartz, Y Goldberg arXiv preprint arXiv:1805.02266, 2018 | 443 | 2018 |
| Improving Hypernymy Detection with an Integrated Path-based and Distributional Method V Shwartz, Y Goldberg, I Dagan ACL 2016, 2016 | 298 | 2016 |
| Unsupervised commonsense question answering with self-talk V Shwartz, P West, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2004.05483, 2020 | 270 | 2020 |
| Social chemistry 101: Learning to reason about social and moral norms M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi arXiv preprint arXiv:2011.00620, 2020 | 262 | 2020 |
| Surface form competition: Why the highest probability answer isn't always right A Holtzman, P West, V Shwartz, Y Choi, L Zettlemoyer arXiv preprint arXiv:2104.08315, 2021 | 221 | 2021 |
| Hypernyms under siege: Linguistically-motivated artillery for hypernymy detection V Shwartz, E Santus, D Schlechtweg arXiv preprint arXiv:1612.04460, 2016 | 138 | 2016 |
| SemEval-2018 task 9: Hypernym discovery J Camacho-Collados, CD Bovi, LE Anke, S Oramas, T Pasini, E Santus, ... Proceedings of the 12th international workshop on semantic evaluation, 712-724, 2018 | 128 | 2018 |
| Revisiting joint modeling of cross-document entity and event coreference resolution S Barhom, V Shwartz, A Eirew, M Bugert, N Reimers, I Dagan arXiv preprint arXiv:1906.01753, 2019 | 121 | 2019 |
| Commonsense reasoning for natural language processing M Sap, V Shwartz, A Bosselut, Y Choi, D Roth Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 117 | 2020 |
| Clever hans or neural theory of mind? stress testing social reasoning in large language models N Shapira, M Levy, SH Alavi, X Zhou, Y Choi, Y Goldberg, M Sap, ... arXiv preprint arXiv:2305.14763, 2023 | 111 | 2023 |
| Back to the future: Unsupervised backprop-based decoding for counterfactual and abductive commonsense reasoning L Qin, V Shwartz, P West, C Bhagavatula, JD Hwang, R Le Bras, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 98* | 2020 |
| Still a pain in the neck: Evaluating text representations on lexical composition V Shwartz, I Dagan Transactions of the Association for Computational Linguistics 7, 403-419, 2019 | 97 | 2019 |
| Thinking like a skeptic: Defeasible inference in natural language R Rudinger, V Shwartz, JD Hwang, C Bhagavatula, M Forbes, R Le Bras, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 4661-4675, 2020 | 80 | 2020 |
| It’s not rocket science: Interpreting figurative language in narratives T Chakrabarty, Y Choi, V Shwartz Transactions of the Association for Computational Linguistics 10, 589-606, 2022 | 67 | 2022 |
| Do neural language models overcome reporting bias? V Shwartz, Y Choi Proceedings of the 28th International Conference on Computational …, 2020 | 65 | 2020 |
| Vlc-bert: Visual question answering with contextualized commonsense knowledge S Ravi, A Chinchure, L Sigal, R Liao, V Shwartz Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 50 | 2023 |
| Paragraph-level commonsense transformers with recurrent memory S Gabriel, C Bhagavatula, V Shwartz, R Le Bras, M Forbes, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12857 …, 2021 | 47 | 2021 |
| " You are grounded!": Latent Name Artifacts in Pre-trained Language Models V Shwartz, R Rudinger, O Tafjord arXiv preprint arXiv:2004.03012, 2020 | 47 | 2020 |
| Evaluating text gans as language models G Tevet, G Habib, V Shwartz, J Berant arXiv preprint arXiv:1810.12686, 2018 | 45 | 2018 |
| Diversify your datasets: Analyzing generalization via controlled variance in adversarial datasets O Rozen, V Shwartz, R Aharoni, I Dagan arXiv preprint arXiv:1910.09302, 2019 | 43 | 2019 |
Yejin ChoiStanford University / NVIDIA在 stanford.edu 的电子邮件经过验证