reference
The InfuserKI method, proposed by Wang et al. in 2024, utilizes knowledge-based fine-tuning with the Llama-2-7B language model, incorporating UMLS and Movie KG (MetaQA) knowledge graphs to perform KGQA tasks on the PubMedQA and MetaQA-1HopQA datasets, evaluated using NR, RR, and F1 metrics.

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