Preprint
Aug 2026
Not the Dimension, the Norm: What Matters in Gradient-Free Weight Perturbation of Language Models
This work intervenes on one factor at a time inside a fixed pipeline, holding candidate scoring and voting constant while they vary the search dimension, the subspace that carries the perturbation, and its norm.
Taeyeon Kim, Ahhyun Kim, Taehyeon Kim et al.
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