Taxonomy Construction

Taxonomy construction focuses on automatically creating and refining hierarchical classifications of entities, a crucial task across diverse fields. Current research emphasizes leveraging large language models (LLMs) through prompting or fine-tuning techniques, often incorporating multimodal data and iterative processes to build comprehensive and nuanced taxonomies. These advancements improve efficiency and accuracy in tasks ranging from audio generation and recommendation systems to semantic segmentation and knowledge organization, impacting various domains by enabling better data management and improved AI performance. The development of automatic evaluation methods for taxonomies is also a growing area of focus.