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related 2.00 — strongly supporting 3 facts
Large Language Models are being actively researched as tools to improve entity alignment in knowledge graphs, as evidenced by studies exploring their use for alignment tasks [1], their integration with knowledge graph data [2], and their ability to generate noisy annotations for the alignment process [3].
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Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 3 facts
referenceChen et al. (2024) proposed a method for entity alignment using noisy annotations generated by large language models, as described in arXiv preprint arXiv:2405.16806.
referenceThe paper 'Two heads are better than one: Integrating knowledge from knowledge graphs and large language models for entity alignment' was published as an arXiv preprint (arXiv:2401.16960) in 2024.
referenceThe paper 'Llm-align: utilizing large language models for entity alignment in knowledge graphs' (arXiv:2412.04690) investigates the use of large language models for entity alignment tasks within knowledge graphs.