LLMs' hypotheses for real-world classification tasks are driven mostly by task priors, and in-context demonstrations, even with flipped labels, do little to change them.
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On the Role of Model Prior in Real-World Inductive Reasoning
LLMs' hypotheses for real-world classification tasks are driven mostly by task priors, and in-context demonstrations, even with flipped labels, do little to change them.