Large language models can behave deterministically at standard settings, so iterated-learning priors may be artifacts, and varying the starting point can reveal which models are truly sampling.
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.IEEE Trans
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Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
Large language models can behave deterministically at standard settings, so iterated-learning priors may be artifacts, and varying the starting point can reveal which models are truly sampling.