The paper 'Understanding scaling laws with statistical and approximation theory for transformer neural networks on intrinsically low-dimensional data' (Advances in Neural Information Processing Systems 37) is cited in the survey 'A Survey on the Theory and Mechanism of Large Language Models' regarding scaling laws.

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)

• Advances in Neural Information Processing Systems entity