Unverified50% confidenceFactExact time
Confidence itself does not improve accuracy; its value lies in supporting routing by confidence, and the mechanism's effectiveness depends on whether confidence is calibrated—when discrimination is insufficient, threshold routing degrades into random routing.
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10/19/2026
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UnverifiedThe overconfidence of a model answering directly while skipping retrieval is technically referred to as miscalibration, meaning there is a systematic deviation between confidence and actual accuracy.78% similarUnverifiedDenser relevance judgments reduce the probability that correct results retrieved by a model are mistakenly judged as irrelevant, thereby improving evaluation reliability.77% similarUnverifiedNaïve confidence-stratified comparisons are unreliable because uncontrolled detection strength can confound conclusions.77% similarUnverified分层漏斗每一层输出置信度分数，当置信度低于预设阈值时请求才下沉到下一层；阈值过高导致请求不必要流向下层，阈值过低引发误识别76% similarUnverifiedResearch reveals that LLMs do not reliably weight and update based on evidence reliability like an ideal Bayesian agent, but instead exhibit behavioral patterns close to distributional skew, with their influence being less correlated with the true reliability of evidence than the Bayesian framework would predict.75% similar
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