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Booktabs Renderer| Model | BLEU Score | Training Cost (FLOPs) | ||
|---|---|---|---|---|
| EN-DE | EN-FR | EN-DE | EN-FR | |
| ByteNet | 23.75 | -- | -- | -- |
| ConvS2S | 25.16 | 40.46 | 9.6e18 | 1.5e20 |
| Transformer (base) | 27.3 | 38.1 | 3.3e18 | 3.3e18 |
| Transformer (big) | 28.4 | 41.8 | 2.3e19 | 2.3e19 |
LaTeX Source (\booktabs)
% Publication-Ready Table generated by TableToLatex.com
% Standard NeurIPS / ICML / CVPR booktabs format
\begin{table}[htbp]
\centering
\small
\caption{Evaluation on WMT 2014 English-to-German and English-to-French (Vaswani et al.)}
\label{tab:wmt-benchmark}
\begin{tabular}{lcccc}
\toprule
\textbf{Model} & \multicolumn{2}{c}{\textbf{BLEU Score}} & \multicolumn{2}{c}{\textbf{Training Cost (FLOPs)}} \\
\cmidrule(lr){2-3} \cmidrule(lr){4-5}
& EN-DE & EN-FR & EN-DE & EN-FR \\
\midrule
ByteNet \cite{bytenet} & 23.75 & -- & -- & -- \\
Deep-Att \cite{deepatt} & -- & 39.2 & -- & -- \\
ConvS2S \cite{convs2s} & 25.16 & 40.46 & $9.6 \times 10^{18}$ & $1.5 \times 10^{20}$ \\
MoE \cite{moe} & 26.03 & 40.56 & $2.0 \times 10^{19}$ & $1.2 \times 10^{20}$ \\
\midrule
\textbf{Transformer (base)} & 27.3 & 38.1 & $3.3 \times 10^{18}$ & $3.3 \times 10^{18}$ \\
\textbf{Transformer (big)} & \textbf{28.4} & \textbf{41.8} & $2.3 \times 10^{19}$ & $2.3 \times 10^{19}$ \\
\bottomrule
\end{tabular}
\end{table}Engineered for Publication Quality
Standard OCR tools produce chaotic grid lines. TableToLatex enforces official ACM, IEEE, and Springer typesetting standards.
\B
Native \booktabs Styling
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\M
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\O
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