SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency

Qianhao Yuan, Yanjiang Liu, Yaojie Lu +4

Multimodal Large Language Models (MLLMs) mainly fall into two architectures, each involving a trade-off between training and inference efficiency: embedding space alignment (e.g.,…