topic-classification

This paper proposes a zero-shot multi-label topic classification framework enhanced with per-article knowledge graphs, comparing four base variants and their graph-augmented counterparts across fifteen LLMs and eight datasets. The study finds that keyword-enhanced classification performs best, and graph augmentation improves small models but degrades performance in larger ones.