\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & EM & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
BioMistral (7B) & 0.516 & 500.0 &  &  & 428.184 & 1.0 \\
Meditron (7B) & 0.36 & 500.0 &  &  & 439.97 & 1.0 \\
Llama 2 (7B) & 0.556 & 500.0 &  &  & 439.97 & 1.0 \\
Llama 3 (70B) & 0.774 & 500.0 &  &  & 361.476 & 1.0 \\
Mistral Instruct v0.1 (7B) & 0.508 & 500.0 &  &  & 428.184 & 1.0 \\
Mixtral (8x22B) & 0.708 & 500.0 &  &  & 428.184 & 1.0 \\
Claude 3 Haiku (20240307) & 0.738 & 500.0 &  &  & 370.13 & 1.0 \\
Claude 3 Sonnet (20240229) & 0.656 & 500.0 &  &  & 370.13 & 1.0 \\
Claude 3 Opus (20240229) & 0.672 & 500.0 &  &  & 370.13 & 1.0 \\
Gemini 1.5 Pro (0409 preview) & 0.55 & 500.0 &  &  & 370.094 &  \\
PaLM-2 (Bison) & 0.658 & 500.0 &  &  & 370.094 &  \\
PaLM-2 (Unicorn) & 0.73 & 500.0 &  &  & 372.832 &  \\
MedLM (Medium) & 0.654 & 500.0 &  &  & 372.832 &  \\
MedLM (Large) & 0.636 & 500.0 &  &  & 372.832 &  \\
GPT-3.5 Turbo (0125) & 0.666 & 500.0 &  &  & 361.948 & 1.0 \\
GPT-4 Turbo (2024-04-09) & 0.642 & 500.0 &  &  & 361.948 & 1.0 \\
GPT-4o (2024-05-13) & 0.72 & 500.0 &  &  & 363.564 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for pubmed_qa_ (pubmed_qa)}
\label{fig:pubmed_qa_ (pubmed_qa)}
\end{table*}