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Using Large Language Models to Predict Human Choice from Textual Description
Abstract: Predicting human decision-making under risk and uncertainty is a long-standing challenge in cognitive science, economics, and AI. While prior research has focused on numerically described lotteries, real-world decisions often rely on textual descriptions. This study conducts the first large-scale exploration of human decision-making in such tasks using a large dataset of one-shot binary choices… Continue Reading Using Large Language Models to Predict Human Choice from Textual Description
