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Riza Setiawan Soetedjo

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#natural language process... Preprint Sep 2026

Overfitting Mitigation via Singular Value Decomposition in Minimum Bayes Risk Decoding

This work introduces SVD-MBR, which frames the pairwise utility matrix as a noisy information signal, and reveals that this denoising is metric-dependent: neural metrics encode a robust low-rank consensus ideal for SVD, whereas surface-level metrics struggle to separate signal from metric noise.

Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito et al. · 0 citations