CLUE generates natural language explanations of model uncertainty in fact-checking by unsupervised identification of claim-evidence and inter-evidence conflicts and agreements, followed by prompting and attention steering.
InProceedings of the 2021 Conference on Empirical Methods in Natural Lan- guage Processing, pages 10266–10284, Online and Punta Cana, Dominican Republic
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Explaining Sources of Uncertainty in Automated Fact-Checking
CLUE generates natural language explanations of model uncertainty in fact-checking by unsupervised identification of claim-evidence and inter-evidence conflicts and agreements, followed by prompting and attention steering.