alabnii/sciclaimeval-shared-task huggingface dataset:
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\textbf{System} & \textbf{Recall} & \textbf{Prec} & \multicolumn{1}{c}{\textbf{F$_1$}} & & \textbf{Accu.} \\
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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} \\
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\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}.}
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