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System Intelligence, powered by Graph Engineering, transforms how we coordinate multiple LLM agents to tackle complex tasks that exceed the capacity of individual intelligence.
SIRLM significantly boosts the reasoning fidelity of LLMs in Knowledge Graph tasks, outperforming existing methods by tightly coupling structural knowledge with parametric learning.
TFR-Net not only prevents knowledge re-emergence during continual unlearning but also enhances model capacity, achieving a remarkable trade-off between unlearning and utility retention.
