Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature
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arXiv:2609.12123v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) is an effective approach for adapting large pretrained models by learning low-rank weight updates. In practice, the LoRA rank is used to control an adapter's parameter budget and representational capacity. We show that this…
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- 2026-09-14 04:00 · arXiv cs.LG
Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature
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