Leveraging Graph Transformers for Knowledge Editing in Large Language Models

Abstract Large Language Models (LLMs) have transformed natural language processing, yet their static knowledge bases present significant challenges, such as temporal obsolescence and factual inconsistencies, limiting their effectiveness in real-world applications. Knowledge editing offers an efficie...

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Bibliografski detalji

Glavni autori:	Wang Gao, Xintong Li, Yize Cao, Gexia Zhang, Wuyang Yang, Gang Hu
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer Nature 2026-03-01
Serija:	Human-Centric Intelligent Systems
Teme:	Knowledge editing Large language model Graph transformer Knowledge graph
Online pristup:	https://doi.org/10.1007/s44230-026-00136-7
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