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Kensuke Sasaki

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#small language model Preprint Oct 2026

On the Sparsity of Direct Preference Optimization: Weight Disentanglement in the NTK Regime

The concept of dual sparsity is introduced: the DPO update direction is a sparse linear combination of sparse gradient feature vectors of sparse gradient feature vectors arising from gradient cancellation between preferred and dispreferred responses, and a framework relating dual sparsity to weight disentanglement is p...

Kensuke Sasaki, Issei Sato · 0 citations

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