RiteeshGrandhi/sciclaimeval-shared-task huggingface dataset:
\begin{table}
	\centering
	\begin{adjustbox}{max width=\textwidth}
		\begin{tabular}{lrrrrr}
			\textbf{System}                 & \textbf{Recall} & \textbf{Prec} & \multicolumn{1}{c}{\textbf{F$_1$}} &   & \textbf{Accu.} \\
			\toprule
			Llama3-8b (\emph{Fact Table})   & 17.36           & 13.67         & 12.26                              &   & 16.70          \\
			GPT-4o-mini (\emph{Full Trans}) & 21.05           & 12.01         & 10.12                              &   & 17.21          \\
			GPT-4o-mini (\emph{Fact Table}) & 21.81           & 17.61         & 13.31                              &   & 20.27          \\
			DeLLMa (Liu et al., 2024)       & 38.30           & 23.14         & 16.68                              &   & 22.35          \\
			(Ours) STRUX+SFT                & 19.15           & 15.55         & 16.54                              &   & 23.34          \\
			(Ours) STRUX+RL                 & 23.03           & 19.34         & \textbf{19.80}                     &   & \textbf{25.55} \\
			\bottomrule
		\end{tabular}
	\end{adjustbox}
	\caption{Table 1: Our STRUX system outperforms strong benchmarks in making stock investment decisions. We present macro-averaged precision, recall, F-scores, accuracy for the test set. LLMs evaluated are: \texttt{Llama3-8b-Instruct} and \texttt{gpt-4o-mini-2024-07-18}.}
\end{table}