RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
		\centering
		\begin{adjustbox}
			{max width=\textwidth}
			\begin{tabular}{l|c|c|c|c|c}
				\toprule \textbf{Model}      & \textbf{En}   & \textbf{Es}   & \textbf{It}   & \textbf{Ko}   & \textbf{Ch}   \\
				\toprule ArmoRM-8B           & \textbf{90.4} & 80.1          & 78.9          & 71.5          & 69.6          \\
				OffsetBias-8B                & 89.4          & 78.9          & {79.5}        & 74.5          & {73.1}        \\
				\midrule

GPT-4o$^{\dagger}$ & 86.7          & {80.4}        & 78.6          & {75.2}        & 72.1          \\
				ST-L-70B*                    & {90.0}        & \textbf{83.1} & \textbf{81.5} & \textbf{75.6} & \textbf{74.1} \\
				\bottomrule
			\end{tabular}
		\end{adjustbox}
		\caption{Table 2: Averaged \textsc{Multilingual RewardBench} results in two
		classifier RMs (top) and two generative RMs (bottom). Off-the-shelf RMs based
		on MLMs show strong cross-lingual transfer as in Table 1.}
	\end{table}