Shixiao Wang

GSMM: Efficient Global Sparsification for Resource-Conscious Multimodal Models

Large Multimodal Models (LMMs) are increasingly essential in various real-time applications, yet their substantial parameter counts and complex architectures pose significant challenges. Traditional global compression methods often rely on trial-and-error experimentation, leading to inefficiencies.…