Shen et al. (2025) theoretically investigated the training dynamics of a single-layer Transformer model for in-context classification tasks on Gaussian mixtures, showing that the model can converge to the global optimum at a linear rate using gradient descent.

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)

• gradient descent concept