Shivanshu Gupta

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Comprehensive Evaluation

Semantic Parsing

Parallel Corpus

Top Venues

EMNLP (Findings)

Publications

Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT (2024)
Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages. ACL (Findings) (2023)
Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. CoRR (2023)
Shivanshu Gupta, Matt Gardner, Sameer Singh
Coverage-based Example Selection for In-Context Learning. CoRR (2023)
Shivanshu Gupta, Matt Gardner, Sameer Singh
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) (2023)
Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages. CoRR (2023)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR (2023)
Ben Bogin, Shivanshu Gupta, Jonathan Berant
Unobserved Local Structures Make Compositional Generalization Hard. CoRR (2022)
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
Successive Prompting for Decomposing Complex Questions. EMNLP (2022)
Shivanshu Gupta, Sameer Singh, Matt Gardner
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR (2022)
Ben Bogin, Shivanshu Gupta, Jonathan Berant
Unobserved Local Structures Make Compositional Generalization Hard. EMNLP (2022)
Shivanshu Gupta, Sameer Singh, Matt Gardner
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) (2022)
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
Successive Prompting for Decomposing Complex Questions. CoRR (2022)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR (2021)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) (2021)