Zakerinia et al. (2025) propose that the strong generalization of highly overparameterized deep models can be explained by low intrinsic dimensionality from a multi-task learning perspective, where the learning process is confined to a low-dimensional manifold despite the vast number of parameters.

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)

• multi-task learning concept