Zhai et al. (2025) theorize that pre-training learns the “contexture,” defined as the top-singular functions of the association between inputs and their contexts, and that a representation learning this contexture is optimal for compatible downstream tasks.

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)

• Pre-training concept