| 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 | 1963 | 2018 |
| 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 | 1338 | 2022 |
| 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 | 1268 | 2018 |
| Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies M Geva, D Khashabi, E Segal, T Khot, D Roth, J Berant Transactions of the Association for Computational Linguistics 9, 346-361, 2021 | 581 | 2021 |
| 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 | 525 | 2018 |
| Decomposed prompting: A modular approach for solving complex tasks T Khot, H Trivedi, M Finlayson, Y Fu, K Richardson, P Clark, A Sabharwal arXiv preprint arXiv:2210.02406, 2022 | 390 | 2022 |
| Complexity-based prompting for multi-step reasoning Y Fu, H Peng, A Sabharwal, P Clark, T Khot arXiv preprint arXiv:2210.00720, 2022 | 355 | 2022 |
| 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 | 330 | 2020 |
| Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions H Trivedi, N Balasubramanian, T Khot, A Sabharwal arXiv preprint arXiv:2212.10509, 2022 | 313 | 2022 |
| 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 | 294 | 2020 |
| How far can camels go? exploring the state of instruction tuning on open resources Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, K Chandu, D Wadden, ... Advances in Neural Information Processing Systems 36, 74764-74786, 2023 | 286 | 2023 |
| ♫ MuSiQue: Multihop Questions via Single-hop Question Composition H Trivedi, N Balasubramanian, T Khot, A Sabharwal Transactions of the Association for Computational Linguistics 10, 539-554, 2022 | 245 | 2022 |
| Specializing smaller language models towards multi-step reasoning Y Fu, H Peng, L Ou, A Sabharwal, T Khot International Conference on Machine Learning, 10421-10430, 2023 | 214 | 2023 |
| Gradient-based boosting for statistical relational learning: The relational dependency network case S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik Machine Learning 86, 25-56, 2012 | 195 | 2012 |
| 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 | 174 | 2016 |
| Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024 | 150 | 2024 |
| UNQOVERing Stereotyping Biases via Underspecified Questions T Li, T Khot, D Khashabi, A Sabharwal, V Srikumar Findings of EMNLP, 2020 | 141 | 2020 |
| Learning markov logic networks via functional gradient boosting T Khot, S Natarajan, K Kersting, J Shavlik 2011 IEEE 11th international conference on data mining, 320-329, 2011 | 135 | 2011 |
| Improving language model negotiation with self-play and in-context learning from ai feedback Y Fu, H Peng, T Khot, M Lapata arXiv preprint arXiv:2305.10142, 2023 | 129 | 2023 |
| From ‘F’to ‘A’on the NY regents science exams: An overview of the aristo project P Clark, O Etzioni, T Khot, D Khashabi, B Mishra, K Richardson, ... Ai Magazine 41 (4), 39-53, 2020 | 128 | 2020 |
Ashish SabharwalAllen Institute for AI (AI2)在 allenai.org 的電子郵件地址已通過驗證