Sanjay Subramanian

According to our database, Sanjay Subramanian authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

AutoPresent: Designing Structured Visuals from Scratch.

Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell

CoRR, January, 2025

2024

Pose Priors from Language Models.

Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell

CoRR, 2024

TraveLER: A Multi-LMM Agent Framework for Video Question-Answering.

Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig

CoRR, 2024

TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering.

Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Using Language Models to Disambiguate Lexical Choices in Translation.

Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Recursive Visual Programming.

Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Can Language Models Learn to Listen?

Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MEVade: An MEV-Resistant Blockchain Design.

Julien Piet, Vivek Nair, Sanjay Subramanian

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation.

Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modular Visual Question Answering via Code Generation.

Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension.

Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering.

Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant

Trans. Assoc. Comput. Linguistics, 2021

2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

MedICaT: A Dataset of Medical Images, Captions, and Textual References.

Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Obtaining Faithful Interpretations from Compositional Neural Networks.

Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Generalization in Coreference Resolution via Adversarial Training.

Sanjay Subramanian, Dan Roth

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Analyzing Compositionality in Visual Question Answering.

Sanjay Subramanian, Sameer Singh, Matt Gardner

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost.

Barna Saha, Sanjay Subramanian

Proceedings of the 27th Annual European Symposium on Algorithms, 2019

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models.

Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Improved Neural Baseline for Temporal Relation Extraction.

Qiang Ning, Sanjay Subramanian, Dan Roth

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Named Person Coreference in English News.

Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth

CoRR, 2018