Sanjay Subramanian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Coreference Resolution

Relation Extraction

Question Answering

Top Venues

EMNLP (Findings)

Publications

Sanjay Subramanian, Evonne Ng, Lea Müller, Dan Klein, Shiry Ginosar, Trevor Darrell
Pose Priors from Language Models. CoRR (2024)
Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig
TraveLER: A Multi-LMM Agent Framework for Video Question-Answering. CoRR (2024)
Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. EMNLP (2023)
Jiaxin Ge, Sanjay Subramanian, Trevor Darrell, Boyi Li
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. CoRR (2023)
Julien Piet, Vivek Nair, Sanjay Subramanian
MEVade: An MEV-Resistant Blockchain Design. ICBC (2023)
Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
Can Language Models Learn to Listen? ICCV (2023)
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
Modular Visual Question Answering via Code Generation. ACL (2) (2023)
Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar
Can Language Models Learn to Listen? CoRR (2023)
Jiaxin Ge, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell
Recursive Visual Programming. CoRR (2023)
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein
Modular Visual Question Answering via Code Generation. CoRR (2023)
Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) (2022)
Sanjay Subramanian, Will Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR (2022)
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics 9 (2021)
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) (2020)
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR (2020)
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR (2020)
Sanjay Subramanian, Dan Roth
Improving Generalization in Coreference Resolution via Adversarial Training. *SEM@NAACL-HLT (2019)
Barna Saha, Sanjay Subramanian
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. CoRR (2019)
Qiang Ning, Sanjay Subramanian, Dan Roth
An Improved Neural Baseline for Temporal Relation Extraction. CoRR (2019)
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) (2019)
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR (2019)
Barna Saha, Sanjay Subramanian
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. ESA (2019)
Sanjay Subramanian, Sameer Singh, Matt Gardner
Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS (2019)
Qiang Ning, Sanjay Subramanian, Dan Roth
An Improved Neural Baseline for Temporal Relation Extraction. EMNLP/IJCNLP (1) (2019)
Sanjay Subramanian, Dan Roth
Improving Generalization in Coreference Resolution via Adversarial Training. CoRR (2019)
Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth
Named Person Coreference in English News. CoRR (2018)