Relations (1)
Facts (2)
Sources
LLM-Powered Knowledge Graphs for Enterprise Intelligence and ... arxiv.org 1 fact
claimIntegrating large language models and knowledge graphs in enterprise contexts faces four key challenges: hallucination of inaccurate facts or relationships, data privacy and security concerns, computational overhead of running extraction at scale, and ontology mismatch when merging different knowledge sources.
A Survey on the Theory and Mechanism of Large Language Models arxiv.org 1 fact
referenceThe paper 'Security and privacy challenges of large language models: a survey' was published in ACM Computing Surveys 57 (6), pp. 1–39.