
\begin{table*}[t]
\centering
\small
\begin{tabular}{lrrp{4cm}p{4cm}r}
\toprule
System & \multicolumn{1}{r}{$r$} & \multicolumn{1}{r}{$d$} & Notes & \multicolumn{1}{c}{Setting type} & \multicolumn{1}{r}{chrF++} \\
\midrule
mBART Baseline              & -- & -- & Inherited MT Baseline        & Baseline          & 22.40 \\
GPT-4o-mini Post-Correction & -- &  8 & Revise mBART Draft           & Post-Editing       & 19.81 \\
GPT-4o-mini                 & 24 &  4 & Direct Many-Shot Translation & Direct Prompting   & 23.41 \\
GPT-4o-mini                 & 28 &  4 & Best OpenAI Setting          & Direct Prompting   & 23.60 \\
GPT-4.1-mini                & 28 &  4 & Model Swap                   & Direct Prompting   & 23.23 \\
GPT-4.1                     & 28 &  4 & Model Swap                   & Direct Prompting   & 23.49 \\
Gemini 2.5 Flash            & 28 &  0 & No dev Exemplars             & Train-Only Prompt  & 32.14 \\
Gemini 2.5 Flash            & 28 &  4 & Same-Pool dev Prompting      & Dev-Assisted       & 39.25 \\
Gemini 2.5 Flash            & 28 & 20 & Same-Pool dev Prompting      & Dev-Assisted       & \underline{42.90} \\
Gemini 2.5 Flash            & 28 & 49 & Same-Pool dev Prompting      & Dev-Assisted       & 42.19 \\
Gemini 2.5 Flash            & 80 & 49 & Same-Pool dev Prompting      & Dev-Assisted       & \textbf{48.24} \\
\bottomrule
\end{tabular}
\caption{Dev chrF++ \grn captioning results across baseline machine translation and RAG-based prompting configurations. \textbf{Bold} indicates the best result, and \underline{Underline} indicates the second-best result.}
\label{tab:mt_ablation}
\end{table*}
