Author

Pattie Maes

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#artificial intelligence Preprint Aug 2026

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

This work proposes a method to sample from models'perceptual prior distributions directly, by steering a generative model to produce stimuli along controllable axes and running Gibbs sampling over that space with the model under study as the judge, and recovers both canonical biases and surprising novel priors invisible to direct prompting.

Manuel Cherep, Pattie Maes, Nikhil Singh · 0 citations

#artificial intelligence Preprint May 2026

Position: Behavioral Systems Require Behavioral Tests

This paper argues that AI agents must be evaluated like other behavioral systems: through systematic observation, perturbation, and interpretation of their actions, and proposes a research agenda focused on developing rigorous behavioral tests.

Manuel Cherep, Nikhil Singh, Pattie Maes · 0 citations