AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
Updates language-model knowledge while limiting interference with retained facts. Parameter changes are projected into a null space associated with preserved knowledge, supported by analysis and sequential-editing experiments.
Overview
Updates language-model knowledge while limiting interference with retained facts. Parameter changes are projected into a null space associated with preserved knowledge, supported by analysis and sequential-editing experiments.
Updates language-model knowledge while limiting interference with retained facts. Parameter changes are projected into a null space associated with preserved knowledge, supported by analysis and sequential-editing experiments.
When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.
Updates language-model knowledge while limiting interference with retained facts. Parameter changes are projected into a null space associated with preserved knowledge, supported by analysis and sequential-editing experiments.
Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.
References
ID: iclr-2025-alphaedit · Last verified:
