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| \documentclass[varwidth=598pt]{standalone} | |
| \usepackage{booktabs} % professional-quality tables | |
| \usepackage{multirow} % multi-row cells in tables | |
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| \usepackage{tabularx} % for tables with auto-stretch columns (if used) | |
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| \usepackage[utf8]{inputenc}% input encoding (legacy, fine for pdflatex) | |
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| \begin{document} | |
| \begin{table} | |
| \centering | |
| \begin{adjustbox}{max width=\textwidth} | |
| \begin{tabular}{c|ccccccc} | |
| \toprule | |
| \textbf{Method} & \textbf{Greedy} & \textbf{Ensemble} & \textbf{Dynamic} & \textbf{CS} & \textbf{DoLa} & \textbf{CD} & \textbf{SCMoE} \\ | |
| \midrule | |
| Latency (s / 512 tokens) & 50.32 & 59.82 & 54.85 & 81.73 & 53.30 & 72.04 & 65.47 \\ | |
| Latency Ratio & x1.00 & x1.19 & x1.09 & x1.62 & x1.06 & x1.43 & x1.30 \\ | |
| \bottomrule | |
| \end{tabular} | |
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| \caption{Table 3: Averaged decoding latency for each method. CS is short for contrastive search and CD is short for contrastive decoding. We set $k$ = 3 for ensemble routing, while for dynamic routing we set threshold = 0.5. The speeds are tested on 4 A100 40G with batch size = 1.} | |
| \end{table} | |
| \end{document} |