Kuanwei Lin

CADER redefines long-video reasoning by enabling systems to adaptively allocate resources based on confidence, significantly improving efficiency and accuracy.

EFlow's innovative separation of evidence retrieval and reasoning processes leads to substantial improvements in long-video reasoning performance, addressing critical biases in existing frameworks.