\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.5588235294117647 & 272.0 &  &  & 233.1433823529412 & 1.0 \\
Meditron (7B) & 0.29411764705882354 & 272.0 &  &  & 242.64705882352942 & 1.0 \\
Llama 2 (7B) & 0.4227941176470588 & 272.0 &  &  & 242.64705882352942 & 1.0 \\
Llama 3 (70B) & 0.8676470588235294 & 272.0 &  &  & 199.4889705882353 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.5367647058823529 & 272.0 &  &  & 233.1433823529412 & 1.0 \\
Mixtral (8x22B) & 0.8308823529411765 & 272.0 &  &  & 233.1433823529412 & 1.0 \\
Claude 3 Haiku (20240307) & 0.8161764705882353 & 272.0 &  &  & 211.53676470588235 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.8566176470588235 & 272.0 &  &  & 211.53676470588235 & 1.0 \\
Claude 3 Opus (20240229) & 0.9227941176470589 & 272.0 &  &  & 211.53676470588235 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.03308823529411765 & 272.0 &  &  & 202.09191176470588 &  \\
PaLM-2 (Bison) & 0.7573529411764706 & 272.0 &  &  & 202.09191176470588 &  \\
PaLM-2 (Unicorn) & 0.8492647058823529 & 272.0 &  &  & 202.6139705882353 &  \\
MedLM (Medium) & 0.7536764705882353 & 272.0 &  &  & 202.6139705882353 &  \\
MedLM (Large) & 0.8639705882352942 & 272.0 &  &  & 202.6139705882353 &  \\
GPT-3.5 Turbo (0125) & 0.75 & 272.0 &  &  & 199.58455882352942 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.9080882352941176 & 272.0 &  &  & 199.58455882352942 & 1.0 \\
GPT-4o (2024-05-13) & 0.9632352941176471 & 272.0 &  &  & 203.18014705882354 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:professional_medicine (mmlu)}
\label{fig:mmlu_subject:professional_medicine (mmlu)}
\end{table*}