Simon Tong

According to our database, Simon Tong authored at least 12 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting.

Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Canoee Liu, Simon Tong, Jindong Chen, Lei Meng

CoRR, 2023

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, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui

Proceedings of the International Conference on Machine Learning, 2022

2019

Corpora Generation for Grammatical Error Correction.

Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2017

Workload Differences Between On-road and Off-road Manoeuvres for Motorcyclists.

Simon Tong, Shaun Helman, Nora Balfe, Camila Fowler, Emma Delmonte, R. Hutchins

Proceedings of the Human Mental Workload: Models and Applications, 2017

2001

Active learning: theory and applications.

Simon Tong

PhD thesis, 2001

Support Vector Machine Active Learning with Applications to Text Classification.

Simon Tong, Daphne Koller

J. Mach. Learn. Res., 2001

Support vector machine active learning for image retrieval.

Simon Tong, Edward Y. Chang

Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001

Active Learning for Structure in Bayesian Networks.

Simon Tong, Daphne Koller

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Active Learning for Parameter Estimation in Bayesian Networks.

Simon Tong, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Support Vector Machine Active Learning with Application sto Text Classification.

Simon Tong, Daphne Koller

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Restricted Bayes Optimal Classifiers.

Simon Tong, Daphne Koller

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000