The paper studies how to teach a smaller language model using a bigger one by only focusing on the most useful bits instead of everything.
The paper teaches vision-language models (AIs that look and read) to pay attention to the right picture parts without needing extra tools during answering time.
The paper teaches a video generator to move things realistically by borrowing motion knowledge from a strong video tracker.