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Shivanshu Gupta
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Successive prompting for decomposing complex questions
D Dua, S Gupta, S Singh, M Gardner
arXiv preprint arXiv:2212.04092, 2022
702022
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
262021
Unobserved local structures make compositional generalization hard
B Bogin, S Gupta, J Berant
arXiv preprint arXiv:2201.05899, 2022
232022
Coverage-based example selection for in-context learning
S Gupta, S Singh, M Gardner
arXiv preprint arXiv:2305.14907, 2023
62023
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
22023
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
22023
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks
S Gupta, C Rosenbaum, ER Elenberg
arXiv preprint arXiv:2311.09606, 2023
12023
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Artiklar 1–8