alabnii/sciclaimeval-shared-task huggingface dataset:
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\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} \\
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\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.}
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