\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) & 0.29913326883870894 & 2.9519531616872667 & 70.0 &  &  & 4241.3877551020405 &  \\
Llama 3.1 Instruct (70B) & 0.29613333281806226 & 1.451672404055693 & 70.0 &  &  & 4241.3877551020405 &  \\
Llama 3.1 Instruct (8B) & 0.158409680443406 & 2.2447391255047857 & 70.0 &  &  & 4241.3877551020405 &  \\
DeepSeek v3 & 0.3148703697408524 & 3.0320300055523304 & 70.0 &  &  & 4267.126530612243 &  \\
Mistral Instruct v0.3 (7B) & 0.21909288527953227 & 0.8113162434830958 & 70.0 &  &  & 5498.970204081634 & 67.26408163265305 \\
Mixtral Instruct (8x22B) & 0.23708252685743644 & 1.878233866205021 & 70.0 &  &  & 5498.970204081634 & 77.8073469387755 \\
Mixtral Instruct (8x7B) & 0.2323542114121679 & 1.0719540549297724 & 70.0 &  &  & 5498.970204081634 & 82.25673469387756 \\
Qwen2 Instruct (72B) & 0.26923578057591957 & 1.5225996478723018 & 70.0 &  &  & 5256.517959183675 & 40.51061224489797 \\
Claude 3.5 Haiku (20241022) & 0.2312052773143766 & 2.419830426196663 & 70.0 &  &  & 3984.799591836734 & 58.209387755102036 \\
Claude 3.5 Sonnet (20241022) & 0.3093992775911476 & 2.0924900459756657 & 70.0 &  &  & 3984.799591836734 & 37.55183673469388 \\
Gemini 1.5 Pro (002) & 0.2857142156282997 & 1.5537196687776214 & 70.0 &  &  & 4875.802448979592 &  \\
Gemini 1.5 Flash (002) & 0.28140268069939767 & 0.5627653826499471 & 70.0 &  &  & 4875.802448979592 &  \\
GPT-4o (2024-11-20) & 0.3299356022840891 & 0.9771607370765844 & 70.0 &  &  & 4222.030204081632 & 30.475510204081633 \\
GPT-4o mini (2024-07-18) & 0.2645095224358704 & 1.3755363497442126 & 70.0 &  &  & 4222.030204081632 & 41.733877551020406 \\
\bottomrule
\end{tabular}}
\caption{Results for tablebench_data_analysis (tablebench_data_analysis)}
\label{fig:tablebench_data_analysis (tablebench_data_analysis)}
\end{table*}