| Natural questions: a benchmark for question answering research T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ... TACL 2019, 2019 | 2632 | 2019 |
| A decomposable attention model for natural language inference AP Parikh, O Täckström, D Das, J Uszkoreit EMNLP 2016, 2016 | 1738 | 2016 |
| BLEURT: Learning Robust Metrics for Text Generation T Sellam, D Das, AP Parikh ACL 2020, 2020 | 1317 | 2020 |
| 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 | 344 | 2020 |
| Thieves of Sesame Street: Model Extraction on BERT-based APIs K Krishna, GS Tomar, A Parikh, N Papernot, M Iyyer ICLR 2020, 2020 | 199 | 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 | 192 | 2019 |
| 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 | 182 | 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 | 168 | 2016 |
| Algorithms for graph similarity and subgraph matching D Koutra, A Parikh, A Ramdas, J Xiang Technical Report, Carnegie Mellon University, 2011 | 166 | 2011 |
| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 137 | 2021 |
| Sticking to the facts: Confident decoding for faithful data-to-text generation R Tian, S Narayan, T Sellam, AP Parikh arXiv preprint arXiv:1910.08684, 2019 | 90 | 2019 |
| A spectral algorithm for latent tree graphical models AP Parikh, L Song, EP Xing ICML 2011, 2011 | 84 | 2011 |
| Learning compact metrics for MT A Pu, HW Chung, AP Parikh, S Gehrmann, T Sellam EMNLP 2022 (short paper), 2021 | 76 | 2021 |
| Text generation with exemplar-based adaptive decoding H Peng, AP Parikh, M Faruqui, B Dhingra, D Das NAACL 2019, 2019 | 65 | 2019 |
| Consistency by agreement in zero-shot neural machine translation M Al-Shedivat, AP Parikh NAACL 2019, 2019 | 65 | 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 | 62 | 2018 |
| Multiscale community blockmodel for network exploration Q Ho, A Parikh, L Song, E Xing AISTATS, 2011 | 56 | 2011 |
| Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution X Garcia, N Constant, AP Parikh, O Firat NAACL 2021, 2021 | 44 | 2021 |
| Hierarchical tensor decomposition of latent tree graphical models L Song, M Ishteva, A Parikh, E Xing, H Park ICML 2013, 2013 | 43 | 2013 |
| On sparse nonparametric conditional covariance selection M Kolar, A P Parikh, E P Xing ICML 2010, 2010 | 43 | 2010 |
