Making Large Language Models Perform Better in Knowledge Graph Completion

Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs. However, research about LLM-based KGC fails to sufficiently harness LLMs' inference proficiencies, overlooking critical structural information integral to KGs. In this pap...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Zhang, Yichi, Chen, Zhuo, Guo, Lingbing, Xu, Yajing, Zhang, Wen, Chen, Huajun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!