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Probing Perceptual Priors of MLLMs via Gibbs Sampling with Interpretable Generative Controls

This story is from 2026-09-01. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.27727v1 Announce Type: new Abstract: A model's behavior on a task is jointly determined by the input it receives and the prior it brings in, i.e. the distribution over stimuli it implicitly expects. Interpretability research has traditionally studied models by holding inputs fixed and ex…

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  1. 2026-09-01 04:00 · arXiv cs.AI
    Probing Perceptual Priors of MLLMs via Gibbs Sampling with Interpretable Generative Controls

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