AttentionXML VS LLMs: An Empirical Evaluation of Extreme Multi-Label Classification Techniques

Abstract: Extreme Multi-Label Classification (XMLC) plays a pivotal role in organizing and retrieving information in largescale textual collections, by considering a very high number of potential labels for the documents. In this paper, we conduct an empirical...

Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging

Abstract: Extreme Multi Label (XML) problems, and in particular XML completion — the task of prediction the missing labels of an entity — have attracted significant attention in the past few years. Most XML completion problems can organically leverage a...