\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrr}
\toprule
Model/adapter & Mean win rate & FinQA - Program Accuracy \\
\midrule
Claude 3.5 Sonnet (20240620) & 0.14285714285714285 & 0.22 \\
Claude 3 Haiku (20240307) & 0.5 & 0.38 \\
Claude 3 Opus (20240229) & 0.35714285714285715 & 0.35 \\
Claude 3 Sonnet (20240229) & 0.21428571428571427 & 0.33 \\
Gemini 1.5 Flash (001) & 0.9285714285714286 & 0.48 \\
Gemini 1.5 Pro (001) & 1.0 & 0.51 \\
Llama 3 Instruct (70B) & 0.5714285714285714 & 0.39 \\
Llama 3 Instruct (8B) & 0.07142857142857142 & 0.2 \\
Mistral Instruct v0.3 (7B) & 0.2857142857142857 & 0.33 \\
Mixtral Instruct (8x22B) & 0.7142857142857143 & 0.4 \\
Mixtral Instruct (8x7B) &  & 0.02 \\
GPT-3.5 Turbo (0125) & 0.42857142857142855 & 0.37 \\
GPT-4o (2024-05-13) & 0.8571428571428571 & 0.47 \\
GPT-4o mini (2024-07-18) & 0.7857142857142857 & 0.41 \\
Qwen2 Instruct (72B) & 0.6428571428571429 & 0.39 \\
\bottomrule
\end{tabular}}
\caption{Results for accuracy (financial_scenarios_ablations)}
\label{fig:accuracy (financial_scenarios_ablations)}
\end{table*}