In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

Although FAR is supposed to be favored as FAMs are already manually labeled and tell exactly if one sentence should be extracted (assuming our annotations are in agreement), to further verify that FAR correlates with human preference, we rank UnifiedSum(E), NeuSum, and Lead-3 in Table TABREF15. The order of the 1st rank in the human evaluation coincides with FAR. FAR also has higher Spearman's coefficient $
ho $ than ROUGE (0.457 vs. 0.44, n=30, threshold=0.362 at 95% significance).
Question: How do they evaluate their proposed metric?
manually labeled and tell exactly if one sentence should be extracted (assuming our annotations are in agreement), to further verify that FAR correlates with human preference,