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Exploring Large Language Models for Knowledge Graph Completion

Exploring Large Language Models for Knowledge Graph Completion

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2859737653

Exploring Large Language Models for Knowledge Graph Completion

About this item

Full title

Exploring Large Language Models for Knowledge Graph Completion

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-02

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Knowledge graphs play a vital role in numerous artificial intelligence tasks, yet they frequently face the issue of incompleteness. In this study, we explore utilizing Large Language Models (LLM) for knowledge graph completion. We consider triples in knowledge graphs as text sequences and introduce an innovative framework called Knowledge Graph LLM...

Alternative Titles

Full title

Exploring Large Language Models for Knowledge Graph Completion

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2859737653

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2859737653

Other Identifiers

E-ISSN

2331-8422

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