| Know What You Don't Know: Unanswerable Questions for SQuAD P Rajpurkar, R Jia, P Liang arXiv preprint arXiv:1806.03822, 2018 | 1463 | 2018 |
| Adversarial examples for evaluating reading comprehension systems R Jia, P Liang arXiv preprint arXiv:1707.07328, 2017 | 1133 | 2017 |
| Data recombination for neural semantic parsing R Jia, P Liang arXiv preprint arXiv:1606.03622, 2016 | 406 | 2016 |
| Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer J Li, R Jia, H He, P Liang arXiv preprint arXiv:1804.06437, 2018 | 381 | 2018 |
| Certified Robustness to Adversarial Word Substitutions R Jia, A Raghunathan, K Göksel, P Liang arXiv preprint arXiv:1909.00986, 2019 | 155 | 2019 |
| MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension A Fisch, A Talmor, R Jia, M Seo, E Choi, D Chen arXiv preprint arXiv:1910.09753, 2019 | 139 | 2019 |
| Dynabench: Rethinking Benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... arXiv preprint arXiv:2104.14337, 2021 | 76 | 2021 |
| Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little K Sinha, R Jia, D Hupkes, J Pineau, A Williams, D Kiela arXiv preprint arXiv:2104.06644, 2021 | 72 | 2021 |
| Document-Level -ary Relation Extraction with Multiscale Representation Learning R Jia, C Wong, H Poon arXiv preprint arXiv:1904.02347, 2019 | 72 | 2019 |
| Robust Encodings: A Framework for Combating Adversarial Typos E Jones, R Jia, A Raghunathan, P Liang arXiv preprint arXiv:2005.01229, 2020 | 59 | 2020 |
| With Little Power Comes Great Responsibility D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky arXiv preprint arXiv:2010.06595, 2020 | 54 | 2020 |
| Selective Question Answering under Domain Shift A Kamath, R Jia, P Liang arXiv preprint arXiv:2006.09462, 2020 | 52 | 2020 |
| “Reverse genomics” predicts function of human conserved noncoding elements A Marcovitz, R Jia, G Bejerano Molecular biology and evolution 33 (5), 1358-1369, 2016 | 48 | 2016 |
| Mx1 and Mx2 key antiviral proteins are surprisingly lost in toothed whales BA Braun, A Marcovitz, JG Camp, R Jia, G Bejerano Proceedings of the National Academy of Sciences 112 (26), 8036-8040, 2015 | 36 | 2015 |
| Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking Z Ma, K Ethayarajh, T Thrush, S Jain, L Wu, R Jia, C Potts, A Williams, ... arXiv preprint arXiv:2106.06052, 2021 | 18 | 2021 |
| Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards? P Rodriguez, J Barrow, A Hoyle, JP Lalor, R Jia, J Boyd-Graber Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 18 | 2021 |
| Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation M Bartolo, T Thrush, R Jia, S Riedel, P Stenetorp, D Kiela arXiv preprint arXiv:2104.08678, 2021 | 15 | 2021 |
| To what extent do human explanations of model behavior align with actual model behavior? G Prasad, Y Nie, M Bansal, R Jia, D Kiela, A Williams arXiv preprint arXiv:2012.13354, 2020 | 12 | 2020 |
| Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches NF Liu, T Lee, R Jia, P Liang arXiv preprint arXiv:2102.01065, 2021 | 10 | 2021 |
| Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA AV Gonzalez, G Bansal, A Fan, R Jia, Y Mehdad, S Iyer arXiv preprint arXiv:2012.15075, 2020 | 8 | 2020 |
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
