Sanjay Subramanian
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Evaluating nlp models via contrast sets
M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ...
Findings of EMNLP 2020, 2020
Allennlp interpret: A framework for explaining predictions of nlp models
E Wallace, J Tuyls, J Wang, S Subramanian, M Gardner, S Singh
EMNLP 2019 (Demonstrations), 2019
Obtaining Faithful Interpretations from Compositional Neural Networks
S Subramanian, B Bogin, N Gupta, T Wolfson, S Singh, J Berant, ...
ACL 2020, 2020
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
B Bogin, S Subramanian, M Gardner, J Berant
Transactions of the ACL (TACL), 2020
Improving generalization in coreference resolution via adversarial training
S Subramanian, D Roth
*SEM 2019, 2019
Reclip: A strong zero-shot baseline for referring expression comprehension
S Subramanian, W Merrill, T Darrell, M Gardner, S Singh, A Rohrbach
arXiv preprint arXiv:2204.05991, 2022
Correlation clustering with same-cluster queries bounded by optimal cost
B Saha, S Subramanian
ESA 2019, 2019
Evaluation of named entity coreference
O Agarwal, S Subramanian, A Nenkova, D Roth
Proceedings of the Second Workshop on Computational Models of Reference …, 2019
MedICaT: A Dataset of Medical Images, Captions, and Textual References
S Subramanian, LL Wang, S Mehta, B Bogin, M van Zuylen, S Parasa, ...
Findings of EMNLP 2020, 2020
Analyzing Compositionality in Visual Question Answering.
S Subramanian, S Singh, M Gardner
ViGIL Workshop @ NeurIPS, 2019
Named person coreference in english news
O Agarwal, S Subramanian, A Nenkova, D Roth
arXiv preprint arXiv:1810.11476, 2018
AllenNLP Interpret: Explaining Predictions of NLP Models
E Wallace, J Tuyls, J Wang, S Subramanian, M Gardner, S Singh
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