Shivanshu Gupta

19 papers A* 3Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions. CoRR Hadi Askari, Shivanshu Gupta, Fei Wang, Anshuman Chhabra, Muhao Chen
2025	J	`jnl`	Leveraging In-Context Learning for Language Model Agents. CoRR Shivanshu Gupta, Sameer Singh, Ashish Sabharwal, Tushar Khot, Ben Bogin
2025	J	`jnl`	Unraveling Indirect In-Context Learning Using Influence Functions. CoRR Hadi Askari, Shivanshu Gupta, Terry Tong, Fei Wang, Anshuman Chhabra, Muhao Chen
2024	A*	`conf`	GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. ICML Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
2024	—	`conf`	Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
2023	—	`conf`	Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) Shivanshu Gupta, Matt Gardner, Sameer Singh
2023	J	`jnl`	Coverage-based Example Selection for In-Context Learning. CoRR Shivanshu Gupta, Matt Gardner, Sameer Singh
2023	—	`conf`	Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages. ACL (Findings) Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti
2023	J	`jnl`	Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages. CoRR Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti
2023	J	`jnl`	GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks. CoRR Shivanshu Gupta, Clemens Rosenbaum, Ethan R. Elenberg
2023	J	`jnl`	Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
2022	J	`jnl`	Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	—	`conf`	Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	A*	`conf`	Successive Prompting for Decomposing Complex Questions. EMNLP Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	J	`jnl`	Successive Prompting for Decomposing Complex Questions. CoRR Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
2022	A*	`conf`	Unobserved Local Structures Make Compositional Generalization Hard. EMNLP Ben Bogin, Shivanshu Gupta, Jonathan Berant
2022	J	`jnl`	Unobserved Local Structures Make Compositional Generalization Hard. CoRR Ben Bogin, Shivanshu Gupta, Jonathan Berant
2021	—	`conf`	COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
2021	J	`jnl`	COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant