From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning

Zhe Huang, Simone Rossi, Rui Yuan +1

Transformers have become a standard architecture in machine learning, demonstrating strong in-context learning (ICL) abilities that allow them to learn from the prompt at inference…