| Know What You Don't Know: Unanswerable Questions for SQuAD P Rajpurkar, R Jia, P Liang arXiv preprint arXiv:1806.03822, 2018 | 3268 | 2018 |
| Adversarial examples for evaluating reading comprehension systems R Jia, P Liang arXiv preprint arXiv:1707.07328, 2017 | 1826 | 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 | 657 | 2018 |
| Data recombination for neural semantic parsing R Jia, P Liang arXiv preprint arXiv:1606.03622, 2016 | 555 | 2016 |
| 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 | 437 | 2021 |
| Certified Robustness to Adversarial Word Substitutions R Jia, A Raghunathan, K Göksel, P Liang arXiv preprint arXiv:1909.00986, 2019 | 342 | 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 | 308 | 2019 |
| 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 | 267 | 2021 |
| Selective Question Answering under Domain Shift A Kamath, R Jia, P Liang arXiv preprint arXiv:2006.09462, 2020 | 193 | 2020 |
| Document-Level -ary Relation Extraction with Multiscale Representation Learning R Jia, C Wong, H Poon arXiv preprint arXiv:1904.02347, 2019 | 189 | 2019 |
| Robust Encodings: A Framework for Combating Adversarial Typos E Jones, R Jia, A Raghunathan, P Liang arXiv preprint arXiv:2005.01229, 2020 | 121 | 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 | 120 | 2020 |
| 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 | 101 | 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 | 89 | 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 | 74 | 2022 |
| Data Curation Alone Can Stabilize In-context Learning TY Chang, R Jia Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 63 | 2023 |
| “Reverse genomics” predicts function of human conserved noncoding elements A Marcovitz, R Jia, G Bejerano Molecular biology and evolution 33 (5), 1358-1369, 2016 | 63 | 2016 |
| 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 | 61 | 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 | 54 | 2015 |
| Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models D Fu, TQ Chen, R Jia, V Sharan arXiv preprint arXiv:2310.17086, 2023 | 50 | 2023 |
Percy LiangAssociate Professor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu