Assessing the Evolution of LLM capabilities for Knowledge Graph Engineering in 2023
J. Frey, L. Meyer, F. Brei, S. Gruender, and M. Martin. Proceedings of Special Track Large Language Models for Knowledge Engineering at Extended Semantic Web Conference 2024 (ESWC24), (2024)
Abstract
In this study, we evaluate the evolution of LLM capabilities w.r.t. the RDF Turtle and SPARQL language as foundational skills to assist with various KGE tasks. We measure the LLM response quality using 6 LLM-KG-Bench tasks for a total of 15 LLM versions available over the course of 2023, covering 5 different “major version” LLM classes (GPT3.5 Turbo, GPT4, Claude-1.x, Claude-2.x, and Claude-instant-1.x).
%0 Conference Paper
%1 Frey2024AssessingEvolutionLLM
%A Frey, Johannes
%A Meyer, Lars-Peter
%A Brei, Felix
%A Gruender, Sabine
%A Martin, Michael
%B Proceedings of Special Track Large Language Models for Knowledge Engineering at Extended Semantic Web Conference 2024 (ESWC24)
%D 2024
%K es frey group_aksw lpmeyer martin
%T Assessing the Evolution of LLM capabilities for Knowledge Graph Engineering in 2023
%U https://2024.eswc-conferences.org/wp-content/uploads/2024/05/77770050.pdf
%X In this study, we evaluate the evolution of LLM capabilities w.r.t. the RDF Turtle and SPARQL language as foundational skills to assist with various KGE tasks. We measure the LLM response quality using 6 LLM-KG-Bench tasks for a total of 15 LLM versions available over the course of 2023, covering 5 different “major version” LLM classes (GPT3.5 Turbo, GPT4, Claude-1.x, Claude-2.x, and Claude-instant-1.x).
@inproceedings{Frey2024AssessingEvolutionLLM,
abstract = {In this study, we evaluate the evolution of LLM capabilities w.r.t. the RDF Turtle and SPARQL language as foundational skills to assist with various KGE tasks. We measure the LLM response quality using 6 LLM-KG-Bench tasks for a total of 15 LLM versions available over the course of 2023, covering 5 different “major version” LLM classes (GPT3.5 Turbo, GPT4, Claude-1.x, Claude-2.x, and Claude-instant-1.x).},
added-at = {2024-11-01T19:16:12.000+0100},
author = {Frey, Johannes and Meyer, Lars-Peter and Brei, Felix and Gruender, Sabine and Martin, Michael},
biburl = {https://www.bibsonomy.org/bibtex/27ed672ac95e3333ffcf0484eb80e83bb/aksw},
booktitle = {Proceedings of Special Track Large Language Models for Knowledge Engineering at Extended Semantic Web Conference 2024 (ESWC24)},
interhash = {08332a985fb6208896a9f067e68ec4da},
intrahash = {7ed672ac95e3333ffcf0484eb80e83bb},
keywords = {es frey group_aksw lpmeyer martin},
timestamp = {2024-11-01T19:16:12.000+0100},
title = {Assessing the Evolution of LLM capabilities for Knowledge Graph Engineering in 2023},
url = {https://2024.eswc-conferences.org/wp-content/uploads/2024/05/77770050.pdf},
year = 2024
}