alabnii/sciclaimeval-shared-task huggingface dataset:
\documentclass[varwidth=598pt]{standalone}

\usepackage{booktabs} % professional-quality tables
\usepackage{multirow} % multi-row cells in tables
\usepackage{colortbl} % color for tables (\cellcolor, \rowcolor)
\usepackage[table]{xcolor} % enhanced colors for tables
\usepackage{array} % more flexible column formats (often used)
\usepackage{tabularx} % for tables with auto-stretch columns (if used)
\usepackage{graphicx} % for images in tables or figure/table floats
\usepackage{amssymb} % math symbols
\usepackage{amsmath} % math environments
\usepackage{soul} % highlighting (used for colored text/cells)
\usepackage[normalem]{ulem} % underlining, strikethroughs
\usepackage[T1]{fontenc} % font encoding
\usepackage[utf8]{inputenc}% input encoding (legacy, fine for pdflatex)
\usepackage{microtype} % better text appearance
\usepackage{hyperref} % hyperlinks
\usepackage{textcomp} % for extra symbols
\usepackage{enumitem} % for compact lists (if used in table notes)
\usepackage{adjustbox}
\usepackage{tabu}
\usepackage{pifont} % http://ctan.org/pkg/pifont
\usepackage{bbding} % \XSolidBrush
\usepackage{makecell}

\begingroup
\makeatletter
\renewcommand{\fnum@table}{}%
\long\def\@makecaption#1#2{%
\vskip\abovecaptionskip
\centering #2\par
\vskip\belowcaptionskip
}
\makeatother

\definecolor{navyblue}{RGB}{213, 224, 244}
\definecolor{forestgreen}{RGB}{181,225,167}
\definecolor{dirt}{RGB}{253,219,110}
\definecolor{salmon}{RGB}{250, 219, 216}
\begin{document}
\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& 60.7& 96.6\\
Claude-2& 74.7&88.4& 84.8& 98.8\\
PaLM & 29.2 &40.9& 40.6& 40.9\\
\hline
\multicolumn{5}{c}{\textit{Open-source LLMs (Llama-2)}} \\
\hline
70b-chat& 80.3 &54.5& 46.3& 87.7\\
13b-chat& 88.3 &39.9& 33.8& 86.0\\
7b-chat& 88.6 &41.4& 36.3& 80.2\\
\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}
\end{document}