| 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 | 2831 | 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 | 1206 | 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 | 954 | 2017 |
| 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 | 624 | 2023 |
| Construction of the literature graph in semantic scholar W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ... NAACL HLT (Industry Papers), 2018 | 599 | 2018 |
| Cosmos QA: Machine reading comprehension with contextual commonsense reasoning L Huang, RL Bras, C Bhagavatula, Y Choi EMNLP 2019, 2019 | 554 | 2019 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... International Conference on Learning Representations 2020, 2020 | 519 | 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 | 517 | 2021 |
| 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 | 493 | 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 Findings of the Association for Computational Linguistics: EMNLP 2020, 1823-1840, 2020 | 462 | 2020 |
| Symbolic knowledge distillation: from general language models to commonsense models P West, C Bhagavatula, J Hessel, J Hwang, L Jiang, R Le Bras, X Lu, ... Proceedings of the 2022 conference of the North American chapter of the …, 2022 | 405 | 2022 |
| Unsupervised commonsense question answering with self-talk V Shwartz, P West, R Le Bras, C Bhagavatula, Y Choi Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 315 | 2020 |
| Tabel: Entity linking in web tables CS Bhagavatula, T Noraset, D Downey International Semantic Web Conference, 425-441, 2015 | 281 | 2015 |
| Adversarial Filters of Dataset Biases RL Bras, S Swayamdipta, C Bhagavatula, R Zellers, ME Peters, ... ICML, 2020 | 273* | 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 | 266 | 2023 |
| 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 | 257 | 2018 |
| Generative data augmentation for commonsense reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, R Le Bras, JP Wang, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 1008-1025, 2020 | 252 | 2020 |
| Neurologic decoding:(un) supervised neural text generation with predicate logic constraints X Lu, P West, R Zellers, R Le Bras, C Bhagavatula, Y Choi Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 200 | 2021 |
| Commonsense Knowledge Base Completion with Structural and Semantic Context C Malaviya, C Bhagavatula, A Bosselut, Y Choi AAAI 2020, 2019 | 195* | 2019 |
| Counterfactual Story Reasoning and Generation L Qin, A Bosselut, A Holtzman, C Bhagavatula, E Clark, Y Choi EMNLP 2019, 2019 | 168 | 2019 |
Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu
