\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model/adapter & Mean win rate & MedQA - EM & MedMCQA - EM & PubMedQA - EM & MMLU - EM & LiveQA - Judge Score & MedicationQA - Judge Score \\
\midrule
BioMistral (7B) & 0.2604166666666667 & 0.471 & 0.449 & 0.516 & 0.589561681882837 & 0.5519230769230773 & 0.4521044992743106 \\
Meditron (7B) & 0.0625 & 0.331 & 0.268 & 0.36 & 0.32020424400982345 & 0.42788461538461536 & 0.23004354136429608 \\
Llama 2 (7B) & 0.11458333333333333 & 0.349 & 0.357 & 0.556 & 0.4186380790930382 & 0.223076923076923 & 0.11320754716981132 \\
Llama 3 (70B) & 0.7291666666666666 & 0.776 & 0.706 & 0.774 & 0.8416063024519881 & 0.5432692307692311 & 0.5094339622641509 \\
Mistral Instruct v0.1 (7B) & 0.22916666666666666 & 0.403 & 0.313 & 0.508 & 0.544692075607928 & 0.5788461538461541 & 0.4927431059506531 \\
Mixtral (8x22B) & 0.4791666666666667 & 0.679 & 0.61 & 0.708 & 0.7939187502717667 & 0.3519230769230769 & 0.330188679245283 \\
Claude 3 Haiku (20240307) & 0.7291666666666666 & 0.669 & 0.598 & 0.738 & 0.7736075804194186 & 0.802884615384616 & 0.7256894049346879 \\
Claude 3 Sonnet (20240229) & 0.65625 & 0.634 & 0.561 & 0.656 & 0.7899509128712178 & 0.8384615384615389 & 0.7677793904208998 \\
Claude 3 Opus (20240229) & 0.8854166666666666 & 0.79 & 0.664 & 0.672 & 0.8688052924219013 & 0.8538461538461543 & 0.7902757619738752 \\
Gemini 1.5 Pro (0409 preview) & 0.09375 & 0.011 & 0.074 & 0.55 & 0.037093058328666266 & 0.4384615384615387 & 0.4172714078374456 \\
PaLM-2 (Bison) & 0.4166666666666667 & 0.6 & 0.372 & 0.658 & 0.7368934632642133 & 0.5884615384615389 & 0.5130624092888244 \\
PaLM-2 (Unicorn) & 0.6770833333333334 & 0.661 & 0.655 & 0.73 & 0.8247507441757943 & 0.6163461538461543 & 0.5544267053701016 \\
MedLM (Medium) & 0.375 & 0.606 & 0.491 & 0.654 & 0.7589506732213857 & 0.5461538461538467 & 0.47895500725689405 \\
MedLM (Large) & 0.6770833333333334 & 0.717 & 0.691 & 0.636 & 0.819258561278876 & 0.7115384615384622 & 0.6429608127721336 \\
GPT-3.5 Turbo (0125) & 0.5729166666666666 & 0.626 & 0.548 & 0.666 & 0.727432480149834 & 0.740384615384616 & 0.6705370101596516 \\
GPT-4 Turbo (2024-04-09) & 0.6979166666666666 & 0.737 & 0.691 & 0.642 & 0.8076318437422109 & 0.7221153846153854 & 0.6190130624092888 \\
GPT-4o (2024-05-13) & 0.84375 & 0.875 & 0.753 & 0.72 & 0.9162729346453542 & 0.687500000000001 & 0.5950653120464441 \\
\bottomrule
\end{tabular}}
\caption{Results for accuracy (medical_scenarios)}
\label{fig:accuracy (medical_scenarios)}
\end{table*}