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This is the standard baseline case with- out MPES

Edited fact probability without MPES - In this case, we evaluate the probability with which a model recalls a fact that is edited into the model

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Lifelong Knowledge Editing requires Better Regularization

cs.CL · 2025-02-03 · conditional · novelty 6.0

Locate-then-edit knowledge editing fails at scale due to over-optimized activations and growing edit-matrix norms, and adding MPES early stopping plus a Frobenius norm constraint mitigates the damage.

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  • Lifelong Knowledge Editing requires Better Regularization cs.CL · 2025-02-03 · conditional · none · ref 11

    Locate-then-edit knowledge editing fails at scale due to over-optimized activations and growing edit-matrix norms, and adding MPES early stopping plus a Frobenius norm constraint mitigates the damage.