\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.6041666666666666 & 144.0 &  &  & 107.79861111111111 & 1.0 \\
Meditron (7B) & 0.2986111111111111 & 144.0 &  &  & 108.63194444444444 & 1.0 \\
Llama 2 (7B) & 0.4097222222222222 & 144.0 &  &  & 108.63194444444444 & 1.0 \\
Llama 3 (70B) & 0.9236111111111112 & 144.0 &  &  & 91.875 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.5694444444444444 & 144.0 &  &  & 107.79861111111111 & 1.0 \\
Mixtral (8x22B) & 0.8125 & 144.0 &  &  & 107.79861111111111 & 1.0 \\
Claude 3 Haiku (20240307) & 0.8194444444444444 & 144.0 &  &  & 104.34722222222223 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.9097222222222222 & 144.0 &  &  & 104.34722222222223 & 1.0 \\
Claude 3 Opus (20240229) & 0.9513888888888888 & 144.0 &  &  & 104.34722222222223 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.05555555555555555 & 144.0 &  &  & 89.79861111111111 &  \\
PaLM-2 (Bison) & 0.8541666666666666 & 144.0 &  &  & 89.79861111111111 &  \\
PaLM-2 (Unicorn) & 0.9375 & 144.0 &  &  & 90.875 &  \\
MedLM (Medium) & 0.875 & 144.0 &  &  & 90.875 &  \\
MedLM (Large) & 0.9375 & 144.0 &  &  & 90.875 &  \\
GPT-3.5 Turbo (0125) & 0.7708333333333334 & 144.0 &  &  & 91.91666666666667 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.9027777777777778 & 144.0 &  &  & 91.91666666666667 & 1.0 \\
GPT-4o (2024-05-13) & 0.9444444444444444 & 144.0 &  &  & 98.05555555555556 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_subject:college_biology (mmlu)}
\label{fig:mmlu_subject:college_biology (mmlu)}
\end{table*}