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M. Banaji

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#natural language process... Preprint Aug 2026

Large Language Models Exhibit Human-Like Bayesian Hypocrisy

Given recent achievements of large language models (LLMs), frontier models are expected to perform well on Bayesian reasoning tasks, at least as well as humans. Furthermore, there is no reason to expect that LLMs will condemn others who offer those very same Bayesian judgments, a fallibility observed in human decision-...

N. Vitali, M. Banaji · 0 citations
Open access Sep 2026

A role for self-regulatory control in the absence of ingroup preference.

One of psychology's most ubiquitous findings is that of robust ingroup preference, an explicitly stated human preference for the groups to which we belong. The advent of implicit measures of social cognition introduced a paradoxical result: Compared to members of higher-status groups, members of lower-status groups oft...

Samuel A. W. Klein, T. Charlesworth, Daniel W. Heck et al. · 0 citations

Vision-Language Models Suppress Female Representations Under Ambiguous Input

LALS (Latent Association Leaning Score) is introduced, a zero-shot metric that projects visual-token activations into the model's text-embedding space to measure concept associations per token and layer and shows that culturally loaded visual cues further modulate these internal associations.

Arnau Marin-Llobet, Simon Henniger, M. Banaji · 1 citation

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