r/MachineLearning
7/10/2026
![Please help me understand figure on subspace similarity in LoRA paper. [D]](https://preview.redd.it/3l5qhbiroech1.png?width=640&crop=smart&auto=webp&s=e5534631f23bcc8d8e89b7fd411120c2b7a84442)
Please help me understand figure on subspace similarity in LoRA paper. [D]
Short summary
A Reddit user asks for help understanding a figure about subspace similarity in the LoRA (Low-Rank Adaptation) paper. The question concerns how the subspace overlap metric works when j is lower than i, and what the y-axis represents in the zoomed-in figures. It is a technical discussion post seeking clarification on linear algebra concepts in the paper.
- •Question about subspace similarity figure in LoRA paper
- •Confusion about how values exist when j < i
- •Seeking clarification on y-axis meaning in zoomed figures
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