| Successive prompting for decomposing complex questions D Dua, S Gupta, S Singh, M Gardner arXiv preprint arXiv:2212.04092, 2022 | 81 | 2022 |
| COVR: A test-bed for visually grounded compositional generalization with real images B Bogin, S Gupta, M Gardner, J Berant arXiv preprint arXiv:2109.10613, 2021 | 28 | 2021 |
| Unobserved local structures make compositional generalization hard B Bogin, S Gupta, J Berant arXiv preprint arXiv:2201.05899, 2022 | 26 | 2022 |
| Coverage-based example selection for in-context learning S Gupta, M Gardner, S Singh arXiv preprint arXiv:2305.14907, 2023 | 19 | 2023 |
| Cross-lingual knowledge distillation for answer sentence selection in low-resource languages S Gupta, Y Matsubara, A Chadha, A Moschitti arXiv preprint arXiv:2305.16302, 2023 | 6 | 2023 |
| Structurally diverse sampling for sample-efficient training and comprehensive evaluation S Gupta, S Singh, M Gardner arXiv preprint arXiv:2203.08445, 2022 | 6* | 2022 |
| Leveraging code to improve in-context learning for semantic parsing B Bogin, S Gupta, P Clark, A Sabharwal arXiv preprint arXiv:2311.09519, 2023 | 2 | 2023 |
| Gistscore: Learning better representations for in-context example selection with gist bottlenecks S Gupta, C Rosenbaum, ER Elenberg arXiv preprint arXiv:2311.09606, 2023 | 2 | 2023 |
Matt GardnerScaled CognitionVerified email at scaledcognition.com
