2025
Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification
EMNLP 2025
Multilabel text classification (MLTC) is an essential task in NLP applications. Traditional methods require extensive labeled data and are limited to fixed label sets. Extracting labels by LLMs is more effective and universal, but incurs high computational costs. In this work, we introduce a distill