ORE decouples semantic entanglement in LLM hidden states via orthogonal edit vectors and a gated non-linear head, improving batch knowledge editing performance including cross-lingual cases.
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
2 Pith papers cite this work. Polarity classification is still indexing.
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JNO uses Pressure-Aware Coordination to jointly optimize neighborhood target representations under coupled constraints, improving propagation and preservation by at least 7% on RippleEdits while maintaining stability.
citing papers explorer
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Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs
ORE decouples semantic entanglement in LLM hidden states via orthogonal edit vectors and a gated non-linear head, improving batch knowledge editing performance including cross-lingual cases.
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Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization
JNO uses Pressure-Aware Coordination to jointly optimize neighborhood target representations under coupled constraints, improving propagation and preservation by at least 7% on RippleEdits while maintaining stability.