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.
Using category structures to test iterated learning as a method for identifying inductive biases.Cognitive Science, 32(1):68–107, 2008
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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.