Optimization methods for knowledge graph-enhanced large language models, such as graph pruning, caching, and approximate retrieval, either compromise accuracy or fail to scale well with large graphs and multi-user environments, according to Guo et al. (2022).

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  Practices, opportunities and challenges in the fusion of knowledge ...

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• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

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• Knowledge graph-enhanced large language models concept