LLM+KG@VLDB'24 Workshop Summary

• URL: http://arxiv.org/abs/2410.01978v1
• Date: Wed, 2 Oct 2024 19:35:35 GMT
• Title: LLM+KG@VLDB'24 Workshop Summary
• Authors: Arijit Khan, Tianxing Wu, Xi Chen,
• Abstract summary: Large language models (LLMs) and knowledge graphs (KGs) have emerged as a hot topic. At the LLM+KG'24 workshop, held in conjunction with VLDB 2024 in Guangzhou, China, one of the key themes explored was important data management challenges and opportunities. This report outlines the major directions and approaches presented by various speakers during the workshop.
• Score: 9.347889830892182
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The unification of large language models (LLMs) and knowledge graphs (KGs) has emerged as a hot topic. At the LLM+KG'24 workshop, held in conjunction with VLDB 2024 in Guangzhou, China, one of the key themes explored was important data management challenges and opportunities due to the effective interaction between LLMs and KGs. This report outlines the major directions and approaches presented by various speakers during the LLM+KG'24 workshop.

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