| Think you have solved question answering? try arc, the ai2 reasoning challenge P Clark, I Cowhey, O Etzioni, T Khot, A Sabharwal, C Schoenick, O Tafjord arXiv preprint arXiv:1803.05457, 2018 | 510 | 2018 |
| Can a suit of armor conduct electricity? a new dataset for open book question answering T Mihaylov, P Clark, T Khot, A Sabharwal arXiv preprint arXiv:1809.02789, 2018 | 474 | 2018 |
| Scitail: A textual entailment dataset from science question answering T Khot, A Sabharwal, P Clark Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 407 | 2018 |
| Towards understanding and harnessing the potential of clause learning P Beame, H Kautz, A Sabharwal Journal of artificial intelligence research 22, 319-351, 2004 | 392 | 2004 |
| Satisfiability solvers CP Gomes, H Kautz, A Sabharwal, B Selman Foundations of Artificial Intelligence 3, 89-134, 2008 | 390 | 2008 |
| 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, ... arXiv preprint arXiv:2206.04615, 2022 | 327 | 2022 |
| Model counting CP Gomes, A Sabharwal, B Selman Handbook of satisfiability, 993-1014, 2021 | 224 | 2021 |
| Algorithm selection and scheduling S Kadioglu, Y Malitsky, A Sabharwal, H Samulowitz, M Sellmann Principles and Practice of Constraint Programming–CP 2011: 17th …, 2011 | 208 | 2011 |
| Parsing algebraic word problems into equations R Koncel-Kedziorski, H Hajishirzi, A Sabharwal, O Etzioni, SD Ang Transactions of the Association for Computational Linguistics 3, 585-597, 2015 | 200 | 2015 |
| Unifiedqa: Crossing format boundaries with a single qa system D Khashabi, S Min, T Khot, A Sabharwal, O Tafjord, P Clark, H Hajishirzi arXiv preprint arXiv:2005.00700, 2020 | 199 | 2020 |
| Qasc: A dataset for question answering via sentence composition T Khot, P Clark, M Guerquin, P Jansen, A Sabharwal Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8082-8090, 2020 | 188 | 2020 |
| Adversarial filters of dataset biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... International conference on machine learning, 1078-1088, 2020 | 175 | 2020 |
| Model counting: A new strategy for obtaining good bounds CP Gomes, A Sabharwal, B Selman AAAI 10, 1597538.1597548, 2006 | 169 | 2006 |
| Combining retrieval, statistics, and inference to answer elementary science questions P Clark, O Etzioni, T Khot, A Sabharwal, O Tafjord, P Turney, D Khashabi Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 157 | 2016 |
| Taming the curse of dimensionality: Discrete integration by hashing and optimization S Ermon, C Gomes, A Sabharwal, B Selman International Conference on Machine Learning, 334-342, 2013 | 145 | 2013 |
| Near-uniform sampling of combinatorial spaces using XOR constraints CP Gomes, A Sabharwal, B Selman Advances In Neural Information Processing Systems 19, 2006 | 139 | 2006 |
| Understanding the power of clause learning P Beame, H Kautz, A Sabharwal IJCAI, 1194-1201, 2003 | 129 | 2003 |
| From Sampling to Model Counting. CP Gomes, J Hoffmann, A Sabharwal, B Selman IJCAI 2007, 2293-2299, 2007 | 128 | 2007 |
| Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering. Y Malitsky, A Sabharwal, H Samulowitz, M Sellmann IJCAI 13, 608-614, 2013 | 126 | 2013 |
| Probing natural language inference models through semantic fragments K Richardson, H Hu, L Moss, A Sabharwal Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8713-8721, 2020 | 120 | 2020 |
