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Experimental results show that PRI achieves up to 10x faster inversion than standard Dense Model Inversion (DMI) and 2x faster than SMI, while consistently outperforming SMI in accuracy and matching the performance of DMI.
The proposed Cen-Prune is a lightweight, plug-and-play correction, which measures subset diversity using centered cosine similarity while retaining raw-space distinctiveness as a complementary token-wise preference and provides robust improvements in overall performance across existing diversity-based pruners.
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