| A decomposable attention model for natural language inference AP Parikh, O Täckström, D Das, J Uszkoreit EMNLP 2016, 2016 | 868 | 2016 |
| Natural questions: a benchmark for question answering research T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ... TACL 2019, 2019 | 337 | 2019 |
| Learning recurrent span representations for extractive question answering K Lee, S Salant, T Kwiatkowski, A Parikh, D Das, J Berant arXiv preprint arXiv:1611.01436, 2016 | 112 | 2016 |
| Algorithms for graph similarity and subgraph matching D Koutra, A Parikh, A Ramdas, J Xiang Technical Report, Carnegie Mellon University, 2011 | 106 | 2011 |
| A spectral algorithm for latent tree graphical models AP Parikh, L Song, EP Xing ICML 2011, 2011 | 91 | 2011 |
| BLEURT: Learning Robust Metrics for Text Generation T Sellam, D Das, AP Parikh ACL 2020, 2020 | 73 | 2020 |
| Real-time open-domain question answering with dense-sparse phrase index M Seo, J Lee, T Kwiatkowski, AP Parikh, A Farhadi, H Hajishirzi ACL 2019, 2019 | 53 | 2019 |
| Multiscale community blockmodel for network exploration Q Ho, A Parikh, L Song, E Xing Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 47 | 2011 |
| Kernel embeddings of latent tree graphical models L Song, A P Parikh, E P Xing Carnegie Mellon University, 2011 | 37 | 2011 |
| Hierarchical tensor decomposition of latent tree graphical models L Song, M Ishteva, A Parikh, E Xing, H Park ICML 2013, 2013 | 36 | 2013 |
| A spectral algorithm for latent junction trees AP Parikh, L Song, M Ishteva, G Teodoru, EP Xing UAI 2012, 2012 | 32 | 2012 |
| On sparse nonparametric conditional covariance selection M Kolar, A P Parikh, E P Xing Carnegie Mellon University, 2010 | 32 | 2010 |
| Conjoint modeling of temporal dependencies in event streams AP Parikh, A Gunawardana, C Meek | 30 | 2012 |
| TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages AP Parikh, W Wu, RE Curtis, EP Xing Bioinformatics, 2011 | 28 | 2011 |
| Thieves of Sesame Street: Model Extraction on BERT-based APIs K Krishna, GS Tomar, A Parikh, N Papernot, M Iyyer ICLR 2020, 2020 | 27 | 2020 |
| Handling divergent reference texts when evaluating table-to-text generation B Dhingra, M Faruqui, A Parikh, MW Chang, D Das, WW Cohen ACL 2019, 2019 | 26 | 2019 |
| Phrase-indexed question answering: A new challenge for scalable document comprehension M Seo, T Kwiatkowski, AP Parikh, A Farhadi, H Hajishirzi EMNLP 2018, 2018 | 25 | 2018 |
| Grounded semantic parsing for complex knowledge extraction AP Parikh, H Poon, K Toutanova NAACL 2015, 2015 | 25 | 2015 |
| Multi-mention learning for reading comprehension with neural cascades S Swayamdipta, AP Parikh, T Kwiatkowski ICLR 2018, 2017 | 23 | 2017 |
| Totto: A controlled table-to-text generation dataset AP Parikh, X Wang, S Gehrmann, M Faruqui, B Dhingra, D Yang, D Das EMNLP 2020, 2020 | 22 | 2020 |
