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GYROval: A Robust Benchmark for Cultural Value Orientation in Large Language Models

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

We present a robust benchmark for measuring cultural value orientation in large language models on the two Inglehart-Welzel axes over several domains and roles (hence GYROval - Gridded Yielding of Robust value Orientation), together with the results of administering it to twenty models. Items are binary contrastive scenarios in the sense introduced by CDEval: both options are legitimate courses of action, neither is correct, there is no answer key, and a model's score on an axis is the proportion of its responses falling on the counted pole. Eleven of the twenty models were additionally admini

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Evidence & attribution

First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.