| Know What You Don't Know: Unanswerable Questions for SQuAD P Rajpurkar, R Jia, P Liang arXiv preprint arXiv:1806.03822, 2018 | 2257 | 2018 |
| Adversarial examples for evaluating reading comprehension systems R Jia, P Liang arXiv preprint arXiv:1707.07328, 2017 | 1492 | 2017 |
| 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 | 519 | 2018 |
| Data recombination for neural semantic parsing R Jia, P Liang arXiv preprint arXiv:1606.03622, 2016 | 506 | 2016 |
| Certified Robustness to Adversarial Word Substitutions R Jia, A Raghunathan, K Göksel, P Liang arXiv preprint arXiv:1909.00986, 2019 | 248 | 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 | 229 | 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 | 213 | 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 | 161 | 2021 |
| Selective Question Answering under Domain Shift A Kamath, R Jia, P Liang arXiv preprint arXiv:2006.09462, 2020 | 125 | 2020 |
| Document-Level -ary Relation Extraction with Multiscale Representation Learning R Jia, C Wong, H Poon arXiv preprint arXiv:1904.02347, 2019 | 119 | 2019 |
| Robust Encodings: A Framework for Combating Adversarial Typos E Jones, R Jia, A Raghunathan, P Liang arXiv preprint arXiv:2005.01229, 2020 | 91 | 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 | 83 | 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 | 56 | 2016 |
| 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 | 55 | 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 | 44 | 2021 |
| 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 | 43 | 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, ... Advances in Neural Information Processing Systems 34, 10351-10367, 2021 | 38 | 2021 |
| Knowledge base question answering by case-based reasoning over subgraphs R Das, A Godbole, A Naik, E Tower, M Zaheer, H Hajishirzi, R Jia, ... International Conference on Machine Learning, 4777-4793, 2022 | 26 | 2022 |
| Models in the loop: Aiding crowdworkers with generative annotation assistants M Bartolo, T Thrush, S Riedel, P Stenetorp, R Jia, D Kiela arXiv preprint arXiv:2112.09062, 2021 | 21 | 2021 |
| Analyzing dynamic adversarial training data in the limit E Wallace, A Williams, R Jia, D Kiela arXiv preprint arXiv:2110.08514, 2021 | 21 | 2021 |
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
