Relations (1)

related 2.32 — strongly supporting 4 facts

Both concepts are performance metrics used to evaluate the KG-RAG and Embedding-RAG pipelines on the CWQ dataset, as shown in [1], [2], [3], and [4].

Facts (4)

Sources
KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv 4 facts
measurementOn the CWQ dataset, the KG-RAG pipeline achieved an Exact Match (EM) score of 19%, an F1 Score of 25%, an accuracy of 32%, and a hallucination rate of 15%.
measurementOn the CWQ dataset, the Embedding-RAG model achieved an Exact Match (EM) score of 28%, an F1 Score of 37%, an accuracy of 46%, and a hallucination rate of 30%.
measurementOn the CWQ dataset, the KG-RAG pipeline achieved an Exact Match (EM) score of 19%, an F1 Score of 25%, an accuracy of 32%, and a hallucination rate of 15%.
measurementOn the CWQ dataset, the Embedding-RAG model achieved an Exact Match (EM) score of 28%, an F1 Score of 37%, an accuracy of 46%, and a hallucination rate of 30%.