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University of Notre Dame
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Verbal uncertainty in large language models can be effectively aligned with their sampled behavior, leading to improved calibration and reduced overconfidence.
LLMs still struggle to apply public policy knowledge in real-world scenarios, even when they can memorize facts and understand concepts.
