Named Person Coreference in English News. - Oshin Agarwal; Sanjay Subramanian; Ani Nenkova; Dan Roth 001 (CoRR, 2018)

An Improved Neural Baseline for Temporal Relation Extraction. - Qiang Ning; Sanjay Subramanian; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. - Eric Wallace; Jens Tuyls; Junlin Wang; Sanjay Subramanian; Matt Gardner 001; Sameer Singh 001 (EMNLP/IJCNLP (3), 2019)

Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost. - Barna Saha; Sanjay Subramanian (ESA, 2019)

Analyzing Compositionality in Visual Question Answering. - Sanjay Subramanian; Sameer Singh 001; Matt Gardner 001 (ViGIL@NeurIPS, 2019)

Improving Generalization in Coreference Resolution via Adversarial Training. - Sanjay Subramanian; Dan Roth 001 (*SEM@NAACL-HLT, 2019)

Obtaining Faithful Interpretations from Compositional Neural Networks. - Sanjay Subramanian; Ben Bogin; Nitish Gupta; Tomer Wolfson; Sameer Singh 001; Jonathan Berant; Matt Gardner 001 (ACL, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 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 001; Matt Gardner 001; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. - Ben Bogin; Sanjay Subramanian; Matt Gardner 001; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. - Sanjay Subramanian; William Merrill; Trevor Darrell; Matt Gardner 001; Sameer Singh 001; Anna Rohrbach (ACL (1), 2022)

Modular Visual Question Answering via Code Generation. - Sanjay Subramanian; Medhini Narasimhan; Kushal Khangaonkar; Kevin Yang; Arsha Nagrani; Cordelia Schmid; Andy Zeng 001; Trevor Darrell; Dan Klein 001 (ACL (2), 2023)

From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation. - Jiaxin Ge; Sanjay Subramanian; Trevor Darrell; Boyi Li (EMNLP, 2023)

MEVade: An MEV-Resistant Blockchain Design. - Julien Piet; Vivek Nair; Sanjay Subramanian (ICBC, 2023)

Can Language Models Learn to Listen? - Evonne Ng; Sanjay Subramanian; Dan Klein 001; Angjoo Kanazawa; Trevor Darrell; Shiry Ginosar (ICCV, 2023)

Recursive Visual Programming. - Jiaxin Ge; Sanjay Subramanian; Baifeng Shi; Roei Herzig; Trevor Darrell (ECCV (43), 2024)

Using Language Models to Disambiguate Lexical Choices in Translation. - Josh Barua; Sanjay Subramanian; Kayo Yin; Alane Suhr (EMNLP, 2024)

TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering. - Chuyi Shang; Amos You; Sanjay Subramanian; Trevor Darrell; Roei Herzig (EMNLP, 2024)

TraveLER: A Multi-LMM Agent Framework for Video Question-Answering. - Chuyi Shang; Amos You; Sanjay Subramanian; Trevor Darrell; Roei Herzig (CoRR, 2024)

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 (CVPR, 2025)

Pose Priors from Language Models. - Sanjay Subramanian; Evonne Ng; Lea Müller; Dan Klein 001; Shiry Ginosar; Trevor Darrell (CVPR, 2025)