AI RESEARCH
Explaining Sources of Uncertainty in Automated Fact-Checking
arXiv CS.CL
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ArXi:2505.17855v2 Announce Type: replace Understanding sources of a model's uncertainty regarding its predictions is crucial for effective human-AI collaboration. Prior work proposes using numerical uncertainty or hedges ("I'm not sure, but which do not explain uncertainty that arises from conflicting evidence, leaving users unable to resolve disagreements or rely on the output. We