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Tag: svd

  • Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration

    Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration arXiv:2507.22170v1 Announce Type: new Abstract: Modern data analysis increasingly requires identifying shared latent structure across multiple high-dimensional datasets. A commonly used model assumes that the data matrices are noisy observations of low-rank matrices with a shared singular subspace. In this case, two…

  • Are You Still Using LoRA to Fine-Tune Your LLM?

    Are You Still Using LoRA to Fine-Tune Your LLM? LoRA (Low Rank Adaptation – arxiv.org/abs/2106.09685) is a popular technique for fine-tuning Large Language Models (LLMs) on the cheap. But 2024 has seen an explosion of new parameter-efficient fine-tuning techniques, an alphabet soup of LoRA alternatives: SVF, SVFT, MiLoRA, PiSSA, LoRA-XS … And most are based…