Sanjay Subramanian

37 papers A* 7A 1C 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AutoPresent: Designing Structured Visuals from Scratch. CVPR Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell
2025	J	`jnl`	AutoPresent: Designing Structured Visuals from Scratch. CoRR Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell
2025	A*	`conf`	Pose Priors from Language Models. CVPR Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell
2024	J	`jnl`	Pose Priors from Language Models. CoRR Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell
2024	—	`conf`	Recursive Visual Programming. ECCV (43) Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
2024	A*	`conf`	TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering. EMNLP Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig
2024	J	`jnl`	TraveLER: A Multi-LMM Agent Framework for Video Question-Answering. CoRR Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig
2024	A*	`conf`	Using Language Models to Disambiguate Lexical Choices in Translation. EMNLP Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr
2024	J	`jnl`	Using Language Models to Disambiguate Lexical Choices in Translation. CoRR Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr
2023	A*	`conf`	Can Language Models Learn to Listen? ICCV Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
2023	J	`jnl`	Can Language Models Learn to Listen? CoRR Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
2023	A*	`conf`	From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. EMNLP Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li
2023	J	`jnl`	From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. CoRR Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li
2023	C	`conf`	MEVade: An MEV-Resistant Blockchain Design. ICBC Julien Piet, Vivek Nair, Sanjay Subramanian
2023	—	`conf`	Modular Visual Question Answering via Code Generation. ACL (2) Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
2023	J	`jnl`	Modular Visual Question Answering via Code Generation. CoRR Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
2023	J	`jnl`	Recursive Visual Programming. CoRR Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
2022	—	`conf`	ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
2022	J	`jnl`	ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
2021	J	`jnl`	Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
2020	—	`conf`	Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 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
2020	J	`jnl`	Evaluating NLP Models via Contrast Sets. CoRR 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
2020	J	`jnl`	Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
2020	—	`conf`	MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020	J	`jnl`	MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020	A*	`conf`	Obtaining Faithful Interpretations from Compositional Neural Networks. ACL Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020	J	`jnl`	Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2019	—	`conf`	AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
2019	J	`jnl`	AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
2019	—	`conf`	An Improved Neural Baseline for Temporal Relation Extraction. EMNLP/IJCNLP (1) Qiang Ning, Sanjay Subramanian, Dan Roth
2019	J	`jnl`	An Improved Neural Baseline for Temporal Relation Extraction. CoRR Qiang Ning, Sanjay Subramanian, Dan Roth
2019	—	`conf`	Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS Sanjay Subramanian, Sameer Singh, Matt Gardner
2019	A	`conf`	Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. ESA Barna Saha, Sanjay Subramanian
2019	J	`jnl`	Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. CoRR Barna Saha, Sanjay Subramanian
2019	—	`conf`	Improving Generalization in Coreference Resolution via Adversarial Training. *SEM@NAACL-HLT Sanjay Subramanian, Dan Roth
2019	J	`jnl`	Improving Generalization in Coreference Resolution via Adversarial Training. CoRR Sanjay Subramanian, Dan Roth
2018	J	`jnl`	Named Person Coreference in English News. CoRR Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth