Understanding how MR-Adapter works

Great work! May I know the intuitive reasons why the MR-Adapter is designed this way?

Why do we need Conv block for low resolution but MLP for high resolution?
What's the reason behind having this gate g in [-1, 1] before aggregation of high resolution features?
What's the reason of adding the original features Fvl in equation (3)? Is it to help the gradient flow?

luogen1996 / LLaVA-HR