alabnii/sciclaimeval-shared-task huggingface dataset:
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\multicolumn{1}{c}{\multirow{2}{*}{Model}} & \multicolumn{2}{c}{stage1} && \multicolumn{2}{c}{stage2} && \multicolumn{3}{c}{stage3} && \multicolumn{3}{c}{stage4} & \multirow{2}{*}{Acc} & \multirow{2}{*}{Age} \\ \cline{2-3}\cline{5-6}\cline{8-10}\cline{12-14}
\multicolumn{1}{c}{} & const & early && semio & empat && conse & induc & rever && deduc & propo & plan & \\ \hline
OPT 6.7B & -4.0 & 64.2 & & 41.1 & -3.0 & & 13.5 & 10.6 & 20.1 & & -0.8 & -0.5 & 14.2 & 15.5 & 6.5 \\
LLaMA2-chat 70B & 52.1 & 96.2 & & 78.5 & 66.2 & & 68.4 & 65.3 & 44.0 & & 15.2 & 40.0 & 20.6 & 54.6 & 14.1 \\
GPT-3.5-Turbo & \underline{96.0} & \underline{97.3} & & \underline{96.0} & \textbf{90.3} & & \underline{90.4} & \underline{78.7} & \underline{78.7} & & \underline{99.4} & \underline{61.0} & \underline{59.4} & \underline{84.7} & \underline{20.0} \\
GPT-4
& 92.0 & \underline{97.3} & & 90.6 & \underline{85.5} & & 65.9 & 64.0 & 61.3 & & 27.5 & 49.0 & 6.7 & 64.0 & 16.1 \\
Human & \textbf{100.0} & \textbf{98.0} & & \textbf{96.1} & 84.2 & & \textbf{98.2} & \textbf{91.6} & \textbf{92.0} & & \textbf{100.0} & \textbf{82.0} & \textbf{95.6} & \textbf{93.7} & \textbf{21.5} \\
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\caption{Table 3: Calibrated accuracy (\%) of all models in evaluating series. Acc and Age refer to calibrated accuracy and the age of equivalent human performance. The value of Age is calculated according to Equation~2 and rounded to the nearest integer. Bold indicates the best performance.}
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