\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) & 0.6521942729882099 & 2.6659411609172823 & 56.0 &  &  & 4943.776530612246 &  \\
Llama 3.1 Instruct (70B) & 0.6337717480568387 & 1.3522411217494883 & 56.0 &  &  & 4943.776530612246 &  \\
Llama 3.1 Instruct (8B) & 0.515494556315564 & 1.4273235459716946 & 56.0 &  &  & 4943.776530612246 &  \\
DeepSeek v3 & 0.7107210430718568 & 1.88762007866587 & 56.0 &  &  & 4973.612244897959 &  \\
Mistral Instruct v0.3 (7B) & 0.5494243635226329 & 0.486539206577807 & 56.0 &  &  & 6048.2132653061235 & 10.09030612244898 \\
Mixtral Instruct (8x22B) & 0.6776977515594289 & 1.0132726377370402 & 56.0 &  &  & 6048.2132653061235 & 10.390816326530617 \\
Mixtral Instruct (8x7B) & 0.5879714281784858 & 0.8459243740354265 & 56.0 &  &  & 6048.2132653061235 & 64.6673469387755 \\
Qwen2 Instruct (72B) & 0.6760624894770199 & 0.9491946507473382 & 56.0 &  &  & 5726.27806122449 & 5.621428571428571 \\
Claude 3.5 Haiku (20241022) & 0.6257470802742832 & 1.5300204582360326 & 56.0 &  &  & 4677.057142857143 & 18.906632653061227 \\
Claude 3.5 Sonnet (20241022) & 0.6961075418200297 & 1.6438881983562394 & 56.0 &  &  & 4677.057142857143 & 11.418367346938775 \\
Gemini 1.5 Pro (002) & 0.7012996707933418 & 1.047607610663589 & 56.0 &  &  & 5182.785714285715 &  \\
Gemini 1.5 Flash (002) & 0.6991716180142943 & 0.4295051240191167 & 56.0 &  &  & 5182.785714285715 &  \\
GPT-4o (2024-11-20) & 0.7256348433563623 & 0.6698274101529803 & 56.0 &  &  & 4905.4270408163275 & 6.390816326530612 \\
GPT-4o mini (2024-07-18) & 0.6573163936726323 & 0.766998930609956 & 56.0 &  &  & 4905.4270408163275 & 6.241836734693877 \\
\bottomrule
\end{tabular}}
\caption{Results for tablebench_fact_checking (tablebench_fact_checking)}
\label{fig:tablebench_fact_checking (tablebench_fact_checking)}
\end{table*}