Shun Liao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 6

Top Topics

Language Modelling

Reinforcement Learning

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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 (2024)
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 (2023)
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) (2021)
Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference. CoRR (2019)
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)
Yuhuai Wu, Elman Mansimov, Shun Liao, Roger B. Grosse, Jimmy Ba
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation. CoRR (2017)