Sike Xiang

BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion

As multimodal large language models (MLLMs) advance, their large-scale architectures pose challenges for deployment in resource-constrained environments. In the age of large models, where energy efficiency, computational scalability and environmental sustainability are paramount, the development of