RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
\centering
\begin{adjustbox}{max width=\textwidth}
    \begin{tabular}{c|c|ccc}
        \hline
         \multirow{ 2}{*}{\textbf{Models}}& \multirow{ 2}{*}{\textbf{\underline{Red.}}} &\multicolumn{3}{c}{\textbf{\underline{Accuracy}}}\\
          &    &Avg.& Cal. \ding{55} & Cal. \ding{51}\\
         \hline
         \multicolumn{5}{c}{\textit{Proprietary LLMs}} \\
         \hline
         GPT-4&   11.7 &100.0$^\dagger$ & 100.0$^\dagger$ & 100.0$^\dagger$\\
         ChatGPT&   47.1 &79.7&  96.6& 60.7\\
         Claude-2&   74.7&88.4& 98.8& 84.8\\
         PaLM &   29.2 &40.9&  40.9& 40.6\\
         \hline
         \multicolumn{5}{c}{\textit{Open-source LLMs (Llama-2)}} \\
         \hline
         70b-chat&   80.3 &54.5& 87.7& 46.3\\
         13b-chat&   88.3 &39.9&  86.0& 33.8\\
         7b-chat&   88.6 &41.4&  80.2& 36.3\\
         \hline
    \end{tabular}
\end{adjustbox}
\caption{Table 1: The redundancy (\textbf{Red.}) and accuracy of LLMs' responses.
    We report the average accuracy (\textbf{Avg.}) on all questions (second column), the accuracy for answers without calculation (Cal. \ding{55}, third column) and with calculation (Cal. \ding{51}, fourth column).
    $\dagger$: The accuracy of GPT-4 is 100\% by construction since we use GPT-4 to filter samples when constructing GSM8K-Zero.}
\end{table}