Know What You Don't Know: Unanswerable Questions for SQuAD P Rajpurkar, R Jia, P Liang
arXiv preprint arXiv:1806.03822, 2018
3205 2018 Adversarial examples for evaluating reading comprehension systems R Jia, P Liang
arXiv preprint arXiv:1707.07328, 2017
1828 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
647 2018 Data recombination for neural semantic parsing R Jia, P Liang
arXiv preprint arXiv:1606.03622, 2016
552 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
421 2021 Certified Robustness to Adversarial Word Substitutions R Jia, A Raghunathan, K Göksel, P Liang
arXiv preprint arXiv:1909.00986, 2019
340 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
306 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
263 2021 Document-Level R Jia, C Wong, H Poon
arXiv preprint arXiv:1904.02347, 2019
189 2019 Selective Question Answering under Domain Shift A Kamath, R Jia, P Liang
arXiv preprint arXiv:2006.09462, 2020
178 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
123 2020 Robust Encodings: A Framework for Combating Adversarial Typos E Jones, R Jia, A Raghunathan, P Liang
arXiv preprint arXiv:2005.01229, 2020
123 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
97 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
81 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 “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 Data Curation Alone Can Stabilize In-context Learning TY Chang, R Jia
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
54 * 2023 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
51 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
41 2023 
Percy LiangAssociate Professor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
