accuracy ↔ knowledge graphs

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related 1.58 — strongly supporting 2 facts

Accuracy is identified as a key metric for evaluating large language models that incorporate knowledge graphs, as established by the calculation formula in [1] and the list of standard evaluation metrics in [2].

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A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer 2 facts

formulaAccuracy is a metric used to evaluate large language models integrated with knowledge graphs by measuring the proportion of correctly predicted instances out of the total instances, calculated as Accuracy = (TP + TN) / (TP + TN + FP + FN), where TP, TN, FP, and FN represent true positives, true negatives, false positives, and false negatives.

claimEvaluation metrics for Large Language Models integrated with Knowledge Graphs vary depending on the specific downstream tasks and can include accuracy, F1-score, precision, and recall.