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Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
We propose an uncertainty quantification framework that leverages both direct confidence elicitation and sampled-based consistency methods to provide better calibration for NLP misinformation mitigation solutions.
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