Yingcong Li

Transformers as Algorithms: Generalization and Stability in In-context Learning

2023 · arXiv (Cornell University)

In-context learning (ICL) is a type of prompting where a transformer model operates on a sequence of (input, output) examples and performs inference on-the-fly. In this work, we formalize in-context learning as an algorithm learning …