alabnii/sciclaimeval-shared-task huggingface dataset:
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\begin{document}
\begin{table}
\centering
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\begin{tabular}{@{}cccccc@{}}
\toprule \multicolumn{6}{c}{Baselines} \\
\midrule \multicolumn{2}{c}{GLTR(avg.)} & \multicolumn{2}{c}{DetectGPT} & \multicolumn{2}{c}{OpenAI Detector} \\
\multicolumn{2}{c}{0.72925} & \multicolumn{2}{c}{0.7735} & \multicolumn{2}{c}{0.715} \\
\midrule \multicolumn{6}{c}{ConDA model with Source as} \\
\midrule C & F19 & G2X & G3 & GM & X \\
0.653 & \textbf{0.877} & 0.626 & 0.679 & 0.73 & \underline{0.831} \\
\bottomrule
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\caption{Table 6: Results on our ChatGPT News dataset using unsupervised baselines
(upper row) and ConDA (lower row). Scores are AUROC. \textbf{Bold} shows
best and \underline{underline} shows second best performance.}
\end{table}
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