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Deep research tasks require agents to navigate large knowledge spaces, synthesize evidence across many sources, and adapt their plans as findings emerge. Directed acyclic graph (DAG)-based multi-agent systems suit this setting because they support parallel execution and isolate each sub-task within a focused dependency...
This paper designs a feedback-oriented vector database with query structure-aware embed-dings to support effective similarity search, and incorporates multi-layered histories as references to enrich the feedback, and enhances the prompt optimization work-flow by utilizing multi-dimensional historical feedback to drive...
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