Tong, Simon

7 publications

AAAI 2024 RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng

ICML 2022 GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du, Yanping Huang, Andrew M Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P Bosma, Zongwei Zhou, Tao Wang, Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc Le, Yonghui Wu, Zhifeng Chen, Claire Cui

IJCAI 2001 Active Learning for Structure in Bayesian Networks Simon Tong, Daphne Koller

JMLR 2001 Support Vector Machine Active Learning with Applications to Text Classification Simon Tong, Daphne Koller

NeurIPS 2000 Active Learning for Parameter Estimation in Bayesian Networks Simon Tong, Daphne Koller

AAAI 2000 Restricted Bayes Optimal Classifiers Simon Tong, Daphne Koller

ICML 2000 Support Vector Machine Active Learning with Application Sto Text Classification Simon Tong, Daphne Koller