Assessing LLMs Suitability for Knowledge Graph Construction

Tracking #: 795-1786

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Authors: 

Vasile Ionut Remus Iga
Gheorghe Cosmin Silaghi

Responsible editor: 

Guest Editors NeSy 2024

Submission Type: 

Article in Special Issue (note in cover letter)

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Cover Letter: 

Dear Editor, We are submitting the article entitled “Assessing LLMs Suitability for Knowledge Graph Construction” (authors Vasile Ionuț Remus and Gheorghe Cosmin Silaghi) for consideration of publication in the Neurosymbolic Artificial Intelligence Journal, the special issue dedicated to the Nesy 2024 conference. With this submission we respond the invitation launched after participating in the 18th International Conference on Neural-Symbolic Learning and Reasoning (Nesy) 2024, by extending the paper presented in the conference and published in the Nesy 2024 proceedings. In addition to that paper, here we are better defining the preliminary conditions, we revised the related work section with the inclusion of the latest relevant research, we formally introduce the flexible measurement paradigm, and we present more detailed results that allow extracting further conclusions, including some related with the capability of the tested LLMs to solve tasks of various levels of difficulty. Yours sincerely, Vasile Ionut Remus Iga Gheorghe Cosmin Silaghi

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