Tsinghua study introduces "Representational Equality" metric for LLM cultural bias
zibuyu9 · x · 2026-08-21
A study published in Computational Linguistics by Tsinghua University and collaborators examines LLMs as proxies in cross-national surveys. It proposes "Representational Equality" (measured by EqCV) to evaluate if models simulate diverse populations evenly. Testing 9 open models across 59 countries and 2,420 subpopulations, the study finds that accuracy does not equate to equality. While GLM-4-9B achieved the highest accuracy (0.739), ChatGLM3-6B led in equality (0.0286) and the combined AE score.
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