\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model/adapter & EM & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 2 (13B) & 0.7441860465116279 & 0.3504955824031386 & 43.0 & 5.0 &  & 318.4651162790698 & 1.0 \\
Llama 2 (70B) & 0.8604651162790697 & 0.3657107630441355 & 43.0 & 5.0 &  & 318.4651162790698 & 1.0 \\
Llama 2 (7B) & 0.5581395348837209 & 0.33717293517534125 & 43.0 & 5.0 &  & 318.4651162790698 & 1.0 \\
Phi-2 & 0.7441860465116279 & 0.30993459945501284 & 43.0 & 5.0 &  & 294.8837209302326 & 1.0 \\
Anthropic Claude 2.1 & 0.8604651162790697 & 1.4024095258047415 & 43.0 & 5.0 &  & 369.09302325581393 & 1.0 \\
PaLM-2 (Unicorn) & 0.9029126213592233 & 1.153875772235463 & 103.0 & 5.0 &  & 284.6796116504854 &  \\
GPT-4 (0613) & 0.9534883720930233 & 0.49978053292562796 & 43.0 & 5.0 &  & 278.95348837209303 & 1.0 \\
\bottomrule
\end{tabular}}
\caption{Results for mmlu_management_subject:management (mmlu_management)}
\label{fig:mmlu_management_subject:management (mmlu_management)}
\end{table*}