| 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 | 302* | 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 | 103 | 2019 |
| Obtaining Faithful Interpretations from Compositional Neural Networks S Subramanian, B Bogin, N Gupta, T Wolfson, S Singh, J Berant, ... ACL 2020, 2020 | 44 | 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 | 19 | 2020 |
| Improving generalization in coreference resolution via adversarial training S Subramanian, D Roth *SEM 2019, 2019 | 19 | 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 | 18* | 2022 |
| Correlation clustering with same-cluster queries bounded by optimal cost B Saha, S Subramanian ESA 2019, 2019 | 16 | 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 | 12 | 2020 |
| Evaluation of named entity coreference O Agarwal, S Subramanian, A Nenkova, D Roth Proceedings of the Second Workshop on Computational Models of Reference …, 2019 | 12 | 2019 |
| Analyzing Compositionality in Visual Question Answering. S Subramanian, S Singh, M Gardner ViGIL Workshop @ NeurIPS, 2019 | 10 | 2019 |
| Named person coreference in english news O Agarwal, S Subramanian, A Nenkova, D Roth arXiv preprint arXiv:1810.11476, 2018 | 1 | 2018 |
| AllenNLP Interpret: Explaining Predictions of NLP Models E Wallace, J Tuyls, J Wang, S Subramanian, M Gardner, S Singh | | |
