alabnii/sciclaimeval-shared-task huggingface dataset:
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Features / Language & \#F & ar & bn & fi & ja & ko & ru & te \\ \midrule
(All) Features & 11 & 0.938 & \textbf{0.867} & 0.921 & 0.881 & 0.921 & 0.826 & 0.918 \\
(W/o) LLM as a Judge & 9 & 0.912 & 0.866 & 0.898 & 0.853 & 0.891 & 0.811 & 0.904 \\
(W/o) Low. Correlation & 7 & \textbf{0.951} & \textbf{0.867} & \textbf{0.923} & \textbf{0.885} & \textbf{0.929} & 0.829 & \textbf{0.940} \\
(Only) LLM as a Judge & 2 & 0.948 & 0.728 & 0.907 & 0.884 & 0.916 & \textbf{0.851} & 0.872 \\
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\caption{Table 4: Kendall Tau ($\tau$) scores using different features for training the random forest regression model.}
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