Neural Machine Translation Models Can Learn to be Few-shot Learners

Raphael Reinauer, Patrick Simianer, Kaden Uhlig +2

The emergent ability of Large Language Models to use a small number of examples to learn to perform in novel domains and tasks, also called in-context learning (ICL). In this work,…