AINeutralarXiv – CS AI · 6h ago6/10
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Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization
Researchers propose Joint Neighborhood Optimization (JNO), a new framework for knowledge editing in large language models that simultaneously manages desired information propagation and prevents unintended disruption to related facts. The method uses Pressure-Aware Coordination to jointly optimize coupled constraints and achieves 7% improvement in both propagation and preservation metrics across different model architectures.
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