Li et al. (2023c) validate that structural learning during fine-tuning is a robust phenomenon that persists even when training is restricted to specific components, affecting semantic organization.

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