Quantifying Bayesian inconsistency in large language models
August 27, 2026
New research introduces an information processing gap metric to measure how much LLM belief updates deviate from ideal Bayesian updates. The method treats LLMs as information processing rules to evaluate their ability to rationally update probabilistic beliefs when presented with new evidence.
HOW THIS AFFECTS YOU
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researcherYou can use this technique to evaluate the reliability of LLMs in high-stakes probabilistic reasoning tasks.