\begin{table*}[h]
    \centering
    \small
    \begin{tabular}{l*{8}{c}}
    \toprule
                                  & \textbf{Cls.}    & \textbf{Clust.}  & \textbf{MultiLabelCls.} & \textbf{PairCls.} & \textbf{Rerank.} & \textbf{Retr.}   & \textbf{STS}     & \textbf{Avg.}   \\
    \midrule
    \textit{English Language Adaptation} \\
    \midrule
    XLM-R                         & \textbf{63.0}    & \textbf{56.6}    & 38.7                    & 59.6              & 60.7             & 62.6             & \underline{73.9} & 59.3  \\
    ruRoBERTa                     & 61.4             & 55.8             & 38.5                    & 59.1              & 61.1             & 63.1             & 73.6             & 58.9  \\
    ru-en-RoBERTa\textsuperscript{\textdagger}                 
                                  & 62.5             & 55.8             & \underline{39.1}        & 60.0              & 62.8             & \underline{65.3} & 73.6             & \textbf{59.9}  \\
    \quad w/ RetroMAE             & 62.2             & 55.7             & 37.9                    & 59.1              & 60.1             & 61.9             & 72.7             & 58.5  \\
    \quad  w/o SLERP              & 62.2             & 55.3             & 38.8                    & 59.9              & \underline{62.9} & 64.9             & 73.3             & \underline{59.6}  \\
    \midrule
    \textit{Training Objective} \\
    \midrule
    Additive margin               & 62.4             & 55.3             & 38.9                    & \textbf{60.9}     & 62.7             & 65.2             & 73.7             & \textbf{59.9}  \\
    Document penalty              & 62.5             & \underline{55.9} & \textbf{40.0}           & \textbf{60.9}     & 61.2             & 62.4             & \textbf{74.1}    & \underline{59.6}  \\
    AnglE similarity              & 62.3             & \underline{55.9} & \underline{39.1}        & \underline{59.9}  & 61.8             & 63.7             & 72.7             & 59.3  \\
    Mean pooling                  & 62.6             & 55.5             & 38.4                    & 59.2              & 61.1             & 63.1             & 72.5             & 58.9  \\
    \midrule
    \textit{Training Examples} \\
    \midrule
    Increase hard negatives group & 62.7             & 55.6             & 38.4                    & \underline{60.6}  & \textbf{63.1}    & \textbf{65.7}    & 73.5             & \textbf{59.9}  \\
    Disable stratified sampling   & \underline{62.8} & 55.7             & 38.4                    & 60.3              & 61.2             & 63.0             & 72.6             & 59.2  \\
    Remove prefixes               & 61.5             & 54.4             & 38.1                    & \textbf{60.9}     & 61.4             & 64.1             & 73.4             & 59.1  \\
    \bottomrule
    \end{tabular}
    
    \caption{Table 3 : Results of the model, method, and data variation. \textbf{Avg.} is the average of the category results.{}\textsuperscript{\textdagger}The reference results for the training objective and training examples sections is model based on ru-en-RoBERTa. Each experiment changes a single component (e.g., use AnglE similarity instead of cosine). Model performance is evaluated on ruMTEB. The best score across all experiments is bold, the second best is underlined.}\label{tab:analysis_summary}
\end{table*}