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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.
Amplifying neurons linked to Alzheimer's can drastically impair language performance, mirroring cognitive decline seen in patients.
State-averaged density matrix embedding theory (SA-DMET) dramatically enhances the accuracy of local excitation calculations, outperforming traditional methods that favor ground state descriptions.
