RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}[]
	\centering
	\begin{tabular}{lcc}
		\toprule
		\multicolumn{1}{c}{\multirow{2}{*}{Method}}  & \multicolumn{2}{c}{Acc (\%)}          \\
		\multicolumn{1}{c}{}                    & \textsc{WikiTQ}  & \textsc{TabFact} \\ \midrule
		\rowcolor[rgb]{0.9,0.9,0.9}
		\multicolumn{3}{c}{\textit{$\heartsuit$ Pre-LLM era}}                                             \\
		TAPEX (Liu et al., 2022)                & 57.2             & 85.9             \\
		TaCube (Zhou et al., 2022b)             & 60.8             & -                \\
		ReasTAP (Zhao et al., 2022)             & 58.6             & \underline{86.2} \\
		OmniTab (Jiang et al., 2022)            & \underline{62.7} & -                \\
		CABINET (Patnaik et al., 2024)          & \textbf{69.1}    & -                \\
		PASTA (Gu et al., 2022)                 & -                & \textbf{90.8}    \\ \midrule
		\rowcolor[rgb]{0.9,0.9,0.9}
		\multicolumn{3}{c}{\textit{$\spadesuit$  LLM era}}                                                 \\
		Binder (Cheng et al., 2023)             & 55.1             & 85.1             \\
		Dater w SC (Ye et al., 2023)            & 69.0             & 85.4             \\
		ReAcTable w s-vote (Zhang et al., 2023) & 68.0             & 86.1             \\
		Mix SC w SC (Liu et al., 2023)          & \textbf{73.7}    & -                \\
		Chain-of-Table (Wang et al., 2024b)     & 67.3             & 86.6             \\
		\textbf{ALTER (ours) w SC}              & \underline{70.4} & \textbf{87.2}    \\ 
		\hdashline
		Dater w/o sc (Ye et al., 2023)          & 65.0             & \underline{83.5} \\
		ReAcTable (Zhang et al., 2023)        
		                                        & \textbf{67.4}    & \textbf{84.3}    \\ 
		Mix SC w/o SC (Liu et al., 2023)        & 64.2             & -                \\
		\textbf{ALTER (ours) w/o SC}            & \underline{65.8} & 83.1             \\                 
		\bottomrule
	\end{tabular}
	\label{tab:main}
	\caption{Table 1: Results of different methods on WikiTQ and TabFact. (We use underline to denote the second-best performance, bold to denote the best performance for each region: Pre-LLM era, LLM era with result ensemble and without ensemble)}
\end{table}