Tag
This paper investigates the optimal placement of expensive 'oracle' correctors within a swarm of unreliable agents to achieve correct consensus, revealing a submodular property and a budget-correctness frontier that depends on the cost–strength curvature.
Researchers propose applying the "global ignition" consciousness mechanism from cognitive science to long-context engineering, introducing the MiA-Signature method that uses submodular selection of high-level concepts to cover the activation space. Applied to RAG and agentic systems, it delivers consistent performance improvements across multiple long-context tasks.