Learning New Tasks from a Few Examples with Soft-Label Prototypes

Avyav Kumar Singh, Ekaterina Shutova, Helen Yannakoudakis

Existing approaches to few-shot learning in NLP rely on large language models (LLMs) and/or fine-tuning of these to generalise on out-of-distribution data. In this work, we propose…