Jev-style models maintain repeatable decisions but fail to resist selection bias better than generative LLMs—stable predictions don't guarantee correct answers across equivalent option orderings, challenging assumptions about structured decision-making reducing bias.
This paper investigates whether Jev-style models—which predict probabilities directly over candidate options—reduce selection bias compared to generative LLMs.