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Xuezhi Wang
Xuezhi Wang
Google Brain, Carnegie Mellon University
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
arXiv preprint arXiv:2011.03395, 2020
2802020
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison.
J Tsai, N Fridman, E Bowring, M Brown, S Epstein, GA Kaminka, ...
AAMAS 11, 457-464, 2011
2282011
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
1122020
Fairness without demographics through adversarially reweighted learning
P Lahoti, A Beutel, J Chen, K Lee, F Prost, N Thain, X Wang, EH Chi
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
1032020
Adana: Active name disambiguation
X Wang, J Tang, H Cheng, SY Philip
2011 IEEE 11th international conference on data mining, 794-803, 2011
1012011
Flexible transfer learning under support and model shift
X Wang, J Schneider
Advances in Neural Information Processing Systems 27, 2014
912014
Biperpedia: An ontology for search applications
R Gupta, A Halevy, X Wang, S Whang, F Wu
892014
Active transfer learning under model shift
X Wang, TK Huang, J Schneider
International Conference on Machine Learning, 1305-1313, 2014
872014
Relevant document discovery for fact-checking articles
X Wang, C Yu, S Baumgartner, F Korn
Companion Proceedings of the The Web Conference 2018, 525-533, 2018
642018
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
622022
Active search on graphs
X Wang, R Garnett, J Schneider
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
442013
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
T Wang, X Wang, Y Qin, B Packer, K Li, J Chen, A Beutel, E Chi
EMNLP 2020, 2020
322020
Measuring and reducing gendered correlations in pre-trained models
K Webster, X Wang, I Tenney, A Beutel, E Pitler, E Pavlick, J Chen, E Chi, ...
arXiv preprint arXiv:2010.06032, 2020
282020
Chain of thought prompting elicits reasoning in large language models
J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou
arXiv preprint arXiv:2201.11903, 2022
252022
Transfer of machine learning fairness across domains
C Schumann, X Wang, A Beutel, J Chen, H Qian, EH Chi
arXiv preprint arXiv:1906.09688, 2019
252019
Evaluating fairness of machine learning models under uncertain and incomplete information
P Awasthi, A Beutel, M Kleindessner, J Morgenstern, X Wang
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
212021
Measuring recommender system effects with simulated users
S Yao, Y Halpern, N Thain, X Wang, K Lee, F Prost, EH Chi, J Chen, ...
arXiv preprint arXiv:2101.04526, 2021
202021
Verifying text summaries of relational data sets
S Jo, I Trummer, W Yu, X Wang, C Yu, D Liu, N Mehta
Proceedings of the 2019 International Conference on Management of Data, 299-316, 2019
172019
Practical compositional fairness: Understanding fairness in multi-component recommender systems
X Wang, N Thain, A Sinha, F Prost, EH Chi, J Chen, A Beutel
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
14*2021
Mining an" anti-knowledge base" from Wikipedia updates with applications to fact checking and beyond
G Karagiannis, I Trummer, S Jo, S Khandelwal, X Wang, C Yu
Proceedings of the VLDB Endowment 13 (4), 561-573, 2019
122019
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