| 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 |
| Socialiqa: Commonsense reasoning about social interactions M Sap, H Rashkin, D Chen, R LeBras, Y Choi arXiv preprint arXiv:1904.09728, 2019 | 1268 | 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 |
| Winogrande: An adversarial winograd schema challenge at scale K Sakaguchi, R Le Bras, C Bhagavatula, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8732-8740, 2020 | 745 | 2020 |
| 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 |
| Cosmos QA: Machine reading comprehension with contextual commonsense reasoning L Huang, R Le Bras, C Bhagavatula, Y Choi Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 554 | 2019 |
| Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... arXiv preprint arXiv:1908.05739, 2019 | 519 | 2019 |
| (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 |
| Generated knowledge prompting for commonsense reasoning J Liu, A Liu, X Lu, S Welleck, P West, R Le Bras, Y Choi, H Hajishirzi Proceedings of the 60th annual meeting of the association for computational …, 2022 | 461 | 2022 |
| 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 |
| Tulu 3: Pushing frontiers in open language model post-training N Lambert, J Morrison, V Pyatkin, S Huang, H Ivison, F Brahman, ... arXiv preprint arXiv:2411.15124, 2024 | 350 | 2024 |
| 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 |
| Neural theory-of-mind? on the limits of social intelligence in large lms M Sap, R Le Bras, D Fried, Y Choi Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 309 | 2022 |
| Adversarial filters of dataset biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... International conference on machine learning, 1078-1088, 2020 | 273 | 2020 |
| 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 |
| Realtime qa: What's the answer right now? J Kasai, K Sakaguchi, R Le Bras, A Asai, X Yu, D Radev, NA Smith, ... Advances in neural information processing systems 36, 49025-49043, 2023 | 228 | 2023 |
| Moral stories: Situated reasoning about norms, intents, actions, and their consequences D Emelin, R Le Bras, JD Hwang, M Forbes, Y Choi Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 215 | 2021 |
Yejin ChoiStanford University / NVIDIAVerified email at stanford.edu
