He et al. (2025a) provide empirical and theoretical evidence that fine-tuning attention layers is more critical for downstream tasks than tuning MLP layers.

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