Li et al. (2025a) provided a convergence analysis demonstrating how gradient descent optimization enables non-linear Transformers to learn Chain-of-Thought (CoT) reasoning, while quantifying the sample complexity required to maintain robustness against noisy context examples.

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 (2)

• chain-of-thought concept
• gradient descent concept