Transfer learning aims to transfer knowledge or information from a source domain to a
relevant target domain. In this paper, we understand transfer learning from the perspectives …

In-context learning (ICL) describes a language model's ability to generate outputs based on
a set of input demonstrations and a subsequent query. To understand this remarkable …

Theoretically understanding the success of modern neural networks remains challenging. In
the direction of theoretically understanding fully connected Multilayer Perceptrons (MLPs) …