72 citations · 300 across the 34 of their papers we have counts for
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cond-mat.dis-nn2022★ 6 cited
A simple framework for contrastive learning phases of matter
Xiao-Qi Han, Sheng-Song Xu, Zhen Feng +2
A main task in condensed-matter physics is to recognize, classify, and characterize phases of matter and the corresponding phase transitions, for which machine learning provides a…
cs.CL2022★ 11 cited
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao +2
Recently, Mixture-of-Experts (short as MoE) architecture has achieved remarkable success in increasing the model capacity of large-scale language models. However, MoE requires inco…