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cs.CL2021
Block-Skim: Efficient Question Answering for Transformer
Yue Guan, Zhengyi Li, Jingwen Leng +3
Transformer models have achieved promising results on natural language processing (NLP) tasks including extractive question answering (QA). Common Transformer encoders used in NLP…
math.NA2021★ 1 cited
Learning invariance preserving moment closure model for Boltzmann-BGK equation
Zhengyi Li, Bin Dong, Yanli Wang
As one of the main governing equations in kinetic theory, the Boltzmann equation is widely utilized in aerospace, microscopic flow, etc. Its high-resolution simulation is crucial i…