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Selective spectral reversal can effectively undo harmful edits in language models while keeping beneficial changes intact, challenging the notion that all edits must be globally removed.
Existing models miss critical visual evidence in metaphor understanding, but M$^3$R-Reasoner closes the gap, outperforming larger models in both accuracy and justification metrics.
