作者位次 #5/5ACL 2026Poster· Natural Language Processing
LLM s as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction
Donghyun Kim · Hyeongjun Yang · Seokju Hwang · Kyong-Ho Lee · Chanhee Lee
摘要
Knowledge graphs (KGs) provide a structured representation of real-world facts as triples consisting of entities and their relationships. With the rapid progress of large language models (LLMs), recent studies increasingly explore LLMs for end-to-end KG construction from text. In particular, gene...