Junlei Li

A Prompt Learning Framework with Large Language Model Augmentation for Few-shot Multi-label Intent Detection

Intent detection (ID) is essential in spoken language understanding, especially in multi-label settings where intent labels are interdependent and diverse. Existing methods like SE-MLP and QA-FT struggle in few-shot settings, due to limited data availability and efficiency concerns. To address this,…