\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrrrrrr}
\toprule
Model & ROUGE-L & Observed inference time (s) & # eval & # train & truncated & # prompt tokens & # output tokens \\
\midrule
Llama 3.1 Instruct (405B) & 0.314498133060866 & 1.8187595931051297 & 73.0 &  &  & 3615.3232876712327 &  \\
Llama 3.1 Instruct (70B) & 0.26529393939393936 & 0.942934031869101 & 73.0 &  &  & 3615.3232876712327 &  \\
Llama 3.1 Instruct (8B) & 0.09680286667726616 & 2.053891408046865 & 73.0 &  &  & 3615.3232876712327 &  \\
DeepSeek v3 & 0.35135144165703175 & 1.8817497469907636 & 73.0 &  &  & 3626.363992172211 &  \\
Mistral Instruct v0.3 (7B) & 0.0965414007415067 & 0.5109421333454826 & 73.0 &  &  & 4519.338943248532 & 27.443444227005866 \\
Mixtral Instruct (8x22B) & 0.20172184527142092 & 1.1828739351022501 & 73.0 &  &  & 4519.338943248532 & 42.991780821917814 \\
Mixtral Instruct (8x7B) & 0.12241160997593814 & 1.0677446082613473 & 73.0 &  &  & 4519.338943248532 & 106.89628180039136 \\
Qwen2 Instruct (72B) & 0.23441208950915327 & 0.8057012577579445 & 73.0 &  &  & 4277.023874755381 & 8.061839530332682 \\
Claude 3.5 Haiku (20241022) & 0.20325236733678995 & 2.602174105802861 & 73.0 &  &  & 3409.518590998043 & 81.87632093933462 \\
Claude 3.5 Sonnet (20241022) & 0.4228915123915123 & 1.5176397561560402 & 73.0 &  &  & 3409.518590998043 & 16.51389432485323 \\
Gemini 1.5 Pro (002) & 0.3148107194392909 & 1.015763274097629 & 73.0 &  &  & 3933.137769080235 &  \\
Gemini 1.5 Flash (002) & 0.21044376417233557 & 0.3900148586750964 & 73.0 &  &  & 3933.137769080235 &  \\
GPT-4o (2024-11-20) & 0.39873469387755095 & 0.5662485291579931 & 73.0 &  &  & 3590.3064579256366 & 6.602739726027397 \\
GPT-4o mini (2024-07-18) & 0.23551383219954652 & 0.6515676167146565 & 73.0 &  &  & 3590.3064579256366 & 6.376125244618395 \\
\bottomrule
\end{tabular}}
\caption{Results for tablebench_numerical_reasoning (tablebench_numerical_reasoning)}
\label{fig:tablebench_numerical_reasoning (tablebench_numerical_reasoning)}
\end{table*}