Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning

Hongyi Cai, Jie Li, Mohammad Mahdinur Rahman +1

The effectiveness of instruction fine-tuning for Large Language Models is fundamentally constrained by the quality and efficiency of training datasets. This work introduces Low-Con…