Xuezhi Wang
Xuezhi Wang
Research Scientist, Google Brain
Potvrđena adresa e-pošte na - Početna stranica
Underspecification presents challenges for credibility in modern machine learning
A D’Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
Journal of Machine Learning Research, 2020
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
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
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
Chain of thought prompting elicits reasoning in large language models
J Wei, X Wang, D Schuurmans, M Bosma, E Chi, Q Le, D Zhou
Neural Information Processing Systems (NeurIPS), 2022, 2022
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
Adana: Active name disambiguation
X Wang, J Tang, H Cheng, SY Philip
2011 IEEE 11th international conference on data mining, 794-803, 2011
Flexible transfer learning under support and model shift
X Wang, J Schneider
Advances in Neural Information Processing Systems 27, 2014
Active transfer learning under model shift
X Wang, TK Huang, J Schneider
International Conference on Machine Learning, 1305-1313, 2014
Biperpedia: An ontology for search applications
R Gupta, A Halevy, X Wang, S Whang, F Wu
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
Self-consistency improves chain of thought reasoning in language models
X Wang, J Wei, D Schuurmans, Q Le, E Chi, D Zhou
arXiv preprint arXiv:2203.11171, 2022
Active search on graphs
X Wang, R Garnett, J Schneider
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
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
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
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
D Zhou, N Schärli, L Hou, J Wei, N Scales, X Wang, D Schuurmans, ...
arXiv preprint arXiv:2205.10625, 2022
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
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
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
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Y Huang, Y Zhang, J Chen, X Wang, D Yang
NAACL 2021, 2021
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