Across LLM fact-checking, model scale correlates with an inverse pattern of accuracy and decisiveness: smaller models are overconfident and less accurate, larger models are accurate but overly cautious.
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Scaling Truth: The Confidence Paradox in AI Fact-Checking
Across LLM fact-checking, model scale correlates with an inverse pattern of accuracy and decisiveness: smaller models are overconfident and less accurate, larger models are accurate but overly cautious.