Dianhai Yu

VESTA's policy-steered retrieval approach enables long-video agents to adaptively acquire and verify evidence, leading to substantial accuracy improvements over traditional methods.

Learned attention allocation patterns reveal that SWA is best positioned in lower layers, challenging conventional wisdom on attention distribution in LLMs.