2024
Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval
ICASSP 2024accepted
As Multimodal Large Language Models (MLLMs) grow in size, adapting them to specialized tasks becomes increasingly challenging due to high computational and memory demands. Indeed, traditional fine-tuning methods are costly, due to the need for extensive, task-specific training. While efficient adapt…