04:00
2026-09-10
arxiv.org
computer-vision
Low-Rank Prompt Learning for Vision-Language Models with Fixed-Token Bases
A new arXiv paper (2609.09462v1) reports that factorizing the dense CoOp prompt matrix P ∈ R^(m×d) as P = BA cuts trainable prompt parameters from md to r(m+d), and to rd once the token-side factor B …