\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) & 0.6441532279862898 & 2.7509390913710305 & 56.0 &  &  & 4889.776530612246 &  \\
Llama 3.1 Instruct (70B) & 0.6222949051807316 & 1.4575051451215941 & 56.0 &  &  & 4889.776530612246 &  \\
Llama 3.1 Instruct (8B) & 0.3080763473707024 & 2.2951676806625056 & 56.0 &  &  & 4889.776530612246 &  \\
Mistral Instruct v0.3 (7B) & 0.5230721279230502 & 2.0907045146640466 & 56.0 &  &  & 5995.842857142858 & 15.959183673469388 \\
Mixtral Instruct (8x22B) & 0.6356722618720734 & 3.4899976937138297 & 56.0 &  &  & 5995.842857142858 & 23.231632653061226 \\
Mixtral Instruct (8x7B) & 0.35238192284202124 & 1.8722484024203554 & 56.0 &  &  & 5995.842857142858 & 59.0484693877551 \\
Qwen2 Instruct (72B) & 0.683186505730731 & 1.8244810779483949 & 56.0 &  &  & 5682.091836734694 & 5.503571428571429 \\
Claude 3.5 Haiku (20241022) & 0.25723810929864604 & 2.168982114353959 & 56.0 &  &  & 4623.569387755102 & 55.49897959183672 \\
Claude 3.5 Sonnet (20241022) & 0.23272752778161349 & 2.537761694071244 & 56.0 &  &  & 4623.569387755102 & 54.529081632653075 \\
GPT-4o (2024-11-20) & 0.7198573698754529 & 0.558549266931962 & 56.0 &  &  & 4858.983163265306 & 6.385204081632652 \\
GPT-4o mini (2024-07-18) & 0.6533808506141237 & 0.6631737837986071 & 56.0 &  &  & 4858.983163265306 & 6.317346938775511 \\
\bottomrule
\end{tabular}}
\caption{Results for tablebench_fact_checking (tablebench_fact_checking)}
\label{fig:tablebench_fact_checking (tablebench_fact_checking)}
\end{table*}