Token-Efficient Leverage Learning Enhances Large Language Model Performance on Low-Resource Tasks

Leverage Learning, a novel methodology, can significantly reduce the reliance on task-specific data while achieving performance comparable to fine-tuning on substantially larger task datasets. The minimalist implementation, Token-Efficient Leverage Learning (TELL), demonstrates marked improvement in performance per task token over traditional Supervised Fine-Tuning.