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Yong-Shun Wang

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#machine learning Preprint Sep 2026

Bilinear Optimization Divergence: Diagnosing Factor-Constrained LoRA Continual Learning

Orthogonality in a LoRA factor does not by itself specify what the composed update protects: the answer depends on the task-start state, the parameterization, and the realized optimizer displacement. We formalize this question through Bilinear Optimization Divergence (BOD), an anchor-relative diagnostic of effective-up...

Yong-Shun Wang, Jianlin Su, Yong-Yi Ma · 0 citations