LLMs frequently violate the probability axioms of complementarity and monotonicity when rating the truth of everyday claims, even when using chain-of-thought or argumentative prompting techniques.
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Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs
LLMs frequently violate the probability axioms of complementarity and monotonicity when rating the truth of everyday claims, even when using chain-of-thought or argumentative prompting techniques.