Preference sampling counts how often each large language model wins under randomly sampled user preference weightings and uses that share as a scalar trustworthiness score.
Explaining models: an empirical study of how explanations impact fairness judgment
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Sampling Preferences Yields Simple Trustworthiness Scores
Preference sampling counts how often each large language model wins under randomly sampled user preference weightings and uses that share as a scalar trustworthiness score.