Shivanshu Gupta

According to our database, Shivanshu Gupta authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Leveraging Code to Improve In-Context Learning for Semantic Parsing.

Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks.

Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Coverage-based Example Selection for In-Context Learning.

Shivanshu Gupta, Matt Gardner, Sameer Singh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages.

Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets.

Shivanshu Gupta, Sameer Singh, Matt Gardner

CoRR, 2022

Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation.

Shivanshu Gupta, Sameer Singh, Matt Gardner

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Successive Prompting for Decomposing Complex Questions.

Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Unobserved Local Structures Make Compositional Generalization Hard.

Ben Bogin, Shivanshu Gupta, Jonathan Berant

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images.

Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021