Search papers, labs, and topics across Lattice.
3
0
8
CADER redefines long-video reasoning by enabling systems to adaptively allocate resources based on confidence, significantly improving efficiency and accuracy.
Current memory systems, despite their complexity, are surprisingly worse than naive RAG when applied to continuous lifelogging scenarios, revealing a critical need for better context preservation.
By iteratively reasoning over video snippets with a Chain-of-Thought, $\text{R}^2$VLM achieves state-of-the-art long-horizon task progress estimation without needing to process entire videos at once.
