\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.5780346820809249 & 173.0 &  &  & 141.41040462427745 & 1.0 \\
Meditron (7B) & 0.27167630057803466 & 173.0 &  &  & 144.67052023121389 & 1.0 \\
Llama 2 (7B) & 0.3988439306358382 & 173.0 &  &  & 144.67052023121389 & 1.0 \\
Llama 3 (70B) & 0.7630057803468208 & 173.0 &  &  & 120.70520231213872 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.5202312138728323 & 173.0 &  &  & 141.41040462427745 & 1.0 \\
Mixtral (8x22B) & 0.7456647398843931 & 173.0 &  &  & 141.41040462427745 & 1.0 \\
Claude 3 Haiku (20240307) & 0.6936416184971098 & 173.0 &  &  & 135.63005780346822 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.7109826589595376 & 173.0 &  &  & 135.63005780346822 & 1.0 \\
Claude 3 Opus (20240229) & 0.815028901734104 & 173.0 &  &  & 135.63005780346822 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.04046242774566474 & 173.0 &  &  & 123.3699421965318 &  \\
PaLM-2 (Bison) & 0.630057803468208 & 173.0 &  &  & 123.3699421965318 &  \\
PaLM-2 (Unicorn) & 0.7572254335260116 & 173.0 &  &  & 124.58381502890174 &  \\
MedLM (Medium) & 0.6705202312138728 & 173.0 &  &  & 124.58381502890174 &  \\
MedLM (Large) & 0.7572254335260116 & 173.0 &  &  & 124.58381502890174 &  \\
GPT-3.5 Turbo (0125) & 0.6647398843930635 & 173.0 &  &  & 120.72832369942196 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.6473988439306358 & 173.0 &  &  & 120.72832369942196 & 1.0 \\
GPT-4o (2024-05-13) & 0.8265895953757225 & 173.0 &  &  & 126.56647398843931 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:college_medicine (mmlu)}
\label{fig:mmlu_subject:college_medicine (mmlu)}
\end{table*}