| WINOGRANDE: An adversarial winograd schema challenge at scale K Sakaguchi, RL Bras, C Bhagavatula, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2020 | 1712 | 2020 |
| 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 | 1081 | 2019 |
| Semi-supervised sequence tagging with bidirectional language models ME Peters, W Ammar, C Bhagavatula, R Power Annual Conference of the Association for Computational Linguistics, 2017 | 912 | 2017 |
| Construction of the literature graph in semantic scholar W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ... NAACL HLT (Industry Papers), 2018 | 523 | 2018 |
| Cosmos QA: Machine reading comprehension with contextual commonsense reasoning L Huang, RL Bras, C Bhagavatula, Y Choi EMNLP 2019, 2019 | 475 | 2019 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... International Conference on Learning Representations 2020, 2020 | 453 | 2020 |
| (comet-) atomic 2020: On symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, R Le Bras, J Da, K Sakaguchi, A Bosselut, ... Proceedings of the AAAI conference on artificial intelligence 35 (7), 6384-6392, 2021 | 451 | 2021 |
| CommonGen: A constrained text generation challenge for generative commonsense reasoning BY Lin, W Zhou, M Shen, P Zhou, C Bhagavatula, Y Choi, X Ren arXiv preprint arXiv:1911.03705, 2019 | 388 | 2019 |
| DExperts: Decoding-time controlled text generation with experts and anti-experts A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi arXiv preprint arXiv:2105.03023, 2021 | 371 | 2021 |
| Faith and fate: Limits of transformers on compositionality N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, S Welleck, P West, ... Advances in Neural Information Processing Systems 36, 70293-70332, 2023 | 363 | 2023 |
| Symbolic knowledge distillation: from general language models to commonsense models P West, C Bhagavatula, J Hessel, JD Hwang, L Jiang, RL Bras, X Lu, ... arXiv preprint arXiv:2110.07178, 2021 | 332 | 2021 |
| Unsupervised commonsense question answering with self-talk V Shwartz, P West, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2004.05483, 2020 | 280 | 2020 |
| Tabel: Entity linking in web tables CS Bhagavatula, T Noraset, D Downey International Semantic Web Conference, 425-441, 2015 | 257 | 2015 |
| Adversarial Filters of Dataset Biases RL Bras, S Swayamdipta, C Bhagavatula, R Zellers, ME Peters, ... ICML, 2020 | 242* | 2020 |
| Content-based citation recommendation C Bhagavatula, S Feldman, R Power, W Ammar Proceedings of the 2018 Conference of the North {A}merican Chapter of the …, 2018 | 232 | 2018 |
| Generative data augmentation for commonsense reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ... arXiv preprint arXiv:2004.11546, 2020 | 226 | 2020 |
| Commonsense Knowledge Base Completion with Structural and Semantic Context C Malaviya, C Bhagavatula, A Bosselut, Y Choi AAAI 2020, 2019 | 174* | 2019 |
| Neurologic decoding:(un) supervised neural text generation with predicate logic constraints X Lu, P West, R Zellers, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2010.12884, 2020 | 159 | 2020 |
| The unlocking spell on base llms: Rethinking alignment via in-context learning BY Lin, A Ravichander, X Lu, N Dziri, M Sclar, K Chandu, C Bhagavatula, ... arXiv preprint arXiv:2312.01552, 2023 | 156 | 2023 |
| Counterfactual Story Reasoning and Generation L Qin, A Bosselut, A Holtzman, C Bhagavatula, E Clark, Y Choi EMNLP 2019, 2019 | 147 | 2019 |
Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu
