\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrr}
\toprule
Model/adapter & Mean win rate & MMLU Abstract Algebra - EM & MMLU College Chemistry - EM & MMLU Computer Security - EM & MMLU Econometrics - EM & MMLU Us Foreign Policy - EM \\
\midrule
Gemma (7B) & 0.36923076923076925 & 0.24 & 0.49 & 0.73 & 0.47368421052631576 & 0.88 \\
Gemma Instruct (7B) & 0.046153846153846156 & 0.3 & 0.19 & 0.17 & 0.2543859649122807 & 0.29 \\
Llama 2 (7B) & 0.1076923076923077 & 0.29 & 0.27 & 0.61 & 0.32456140350877194 & 0.65 \\
Mixtral (8x7B 32K seqlen) & 0.8615384615384616 & 0.4 & 0.54 & 0.82 & 0.6228070175438597 & 0.93 \\
Phi-2 & 0.26153846153846155 & 0.32 & 0.4 & 0.73 & 0.3508771929824561 & 0.78 \\
Qwen1.5 (7B) & 0.4461538461538462 & 0.39 & 0.43 & 0.75 & 0.45614035087719296 & 0.85 \\
Yi (6B) & 0.3230769230769231 & 0.3 & 0.41 & 0.74 & 0.35964912280701755 & 0.87 \\
Anthropic Claude Instant 1.2 & 0.5230769230769231 & 0.33 & 0.46 & 0.76 & 0.3684210526315789 & 0.9 \\
Anthropic Claude 2.1 & 0.23076923076923078 & 0.29 & 0.27 & 0.59 & 0.5614035087719298 & 0.52 \\
Gemini & 0.676923076923077 & 0.32 & 0.48 & 0.83 & 0.5789473684210527 & 0.9 \\
PaLM-2 (Bison) & 0.676923076923077 & 0.39 & 0.52 & 0.75 & 0.5087719298245614 & 0.9 \\
PaLM-2 (Unicorn) & 0.8769230769230769 & 0.47 & 0.57 & 0.79 & 0.6491228070175439 & 0.92 \\
GPT-3.5 Turbo (0613) & 0.6153846153846154 & 0.32 & 0.53 & 0.79 & 0.5 & 0.87 \\
GPT-4 Turbo (1106 preview) & 0.9846153846153847 & 0.62 & 0.55 & 0.84 & 0.7105263157894737 & 0.94 \\
\bottomrule
\end{tabular}}
\caption{Results for accuracy (mmlu_subjects)}
\label{fig:accuracy (mmlu_subjects)}
\end{table*}