| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 681 | 2021 |
| COMET: Commonsense Transformers for Automatic Knowledge Graph Construction A Bosselut, H Rashkin, M Sap, C Malaviya, A Celikyilmaz, Y Choi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 559 | 2019 |
| Deep communicating agents for abstractive summarization A Celikyilmaz, A Bosselut, X He, Y Choi Proceedings of the 16th Annual Meeting of the North American Association for …, 2018 | 332 | 2018 |
| Learning to Write with Cooperative Discriminators A Holtzman, J Buys, M Forbes, A Bosselut, D Golub, Y Choi Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 177 | 2018 |
| COMET-ATOMIC 2020: On symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, RL Bras, J Da, K Sakaguchi, A Bosselut, ... Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 | 165 | 2021 |
| QA-GNN: Reasoning with language models and knowledge graphs for question answering M Yasunaga, H Ren, A Bosselut, P Liang, J Leskovec arXiv preprint arXiv:2104.06378, 2021 | 152 | 2021 |
| Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering A Bosselut, RL Bras, Y Choi Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 | 101* | 2021 |
| Simulating action dynamics with neural process networks A Bosselut, O Levy, A Holtzman, C Ennis, D Fox, Y Choi Proceedings of the 6th International Conference for Learning Representations …, 2018 | 98 | 2018 |
| Commonsense Knowledge Base Completion with Structural and Semantic Context C Malaviya, C Bhagavatula, A Bosselut, Y Choi Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 | 92* | 2020 |
| Counterfactual Story Reasoning and Generation L Qin, A Bosselut, A Holtzman, C Bhagavatula, E Clark, Y Choi Proceedings of the Conference on Empirical Methods in Natural Language …, 2019 | 81 | 2019 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 78 | 2021 |
| Discourse-Aware Neural Rewards for Coherent Text Generation A Bosselut, A Celikyilmaz, X He, J Gao, PS Huang, Y Choi Proceedings of the 16th Annual Meeting of the North American Association for …, 2018 | 76 | 2018 |
| Reasoning about Actions and State Changes by Injecting Commonsense Knowledge N Tandon, BD Mishra, J Grus, W Yih, A Bosselut, P Clark Proceedings of the Conference on Empirical Methods in Natural Language …, 2018 | 73 | 2018 |
| Modeling Naive Psychology of Characters in Simple Commonsense Stories H Rashkin, A Bosselut, M Sap, K Knight, Y Choi Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 69 | 2018 |
| Fast model editing at scale E Mitchell, C Lin, A Bosselut, C Finn, CD Manning International Conference on Learning Representations (ICLR), 2022 | 56 | 2022 |
| WIQA: A dataset for" What if..." reasoning over procedural text N Tandon, BD Mishra, K Sakaguchi, A Bosselut, P Clark Proceedings of the Conference on Empirical Methods in Natural Language …, 2019 | 51 | 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 | 50* | 2020 |
| Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning L Qin, V Shwartz, P West, C Bhagavatula, J Hwang, R Le Bras, A Bosselut, ... Proceedings of the Conference on Empirical Methods in Natural Language …, 2020 | 43* | 2020 |
| Efficient adaptation of pretrained transformers for abstractive summarization A Hoang, A Bosselut, A Celikyilmaz, Y Choi arXiv preprint arXiv:1906.00138, 2019 | 37 | 2019 |
| Everything happens for a reason: Discovering the purpose of actions in procedural text B Dalvi, N Tandon, A Bosselut, W Yih, P Clark Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 27* | 2019 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceBestätigte E-Mail-Adresse bei cs.washington.edu
