Delta-LLaVA: Efficient Vision-Language Model Alignment

The Delta-LLaVA research focuses on enhancing the efficiency of vision-language models, specifically targeting token usage. This work likely contributes to improved performance and reduced computational costs in tasks involving both visual and textual data.

• •Addresses efficiency concerns in vision-language models.
• •Employs a 'base-then-specialize' alignment approach.
• •Potentially leads to improved model performance with reduced token usage.