The DISCO framework, introduced by Zhang et al. (2025c), uses Singular Value Decomposition (SVD) to analyze a model’s features to avoid costly fine-tuning, based on the insight that different spectral components of features possess different degrees of transferability.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• fine-tuning concept