Oscar Chew

VideoLLMs are surprisingly bad at keeping track of who did what, frequently mixing up actions across different video segments like a confused movie editor.

CLIP models suffer from a surprisingly strong "center bias," causing them to miss important objects outside the image's central region, even when those objects are crucial for accurate vision-language understanding.