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2020 – today
- 2024
[i4]Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff:
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. CoRR abs/2406.12830 (2024)- 2023
- [i3]Xin Liu, Daniel McDuff, Geza Kovacs, Isaac R. Galatzer-Levy, Jacob E. Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak N. Patel:
Large Language Models are Few-Shot Health Learners. CoRR abs/2305.15525 (2023) - 2021
- [j1]Shun Liao, Jamie Kiros, Jiyang Chen, Zhaolei Zhang, Ting Chen:
Improving domain adaptation in de-identification of electronic health records through self-training. J. Am. Medical Informatics Assoc. 28(10): 2093-2100 (2021)
2010 – 2019
- 2019
- [i2]Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang:
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference. CoRR abs/1901.10668 (2019) - 2017
- [c1]Yuhuai Wu, Elman Mansimov, Roger B. Grosse, Shun Liao, Jimmy Ba:
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation. NIPS 2017: 5279-5288 - [i1]Yuhuai Wu, Elman Mansimov, Shun Liao, Roger B. Grosse, Jimmy Ba:
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation. CoRR abs/1708.05144 (2017)
Coauthor Index
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