papersSEP 10 04:00 UTC
DiSCo framework evaluates cultural preference bias in large language models
A new arXiv paper introduces DiSCo, a framework that tests whether large language models lean toward particular cultures when answering everyday questions grounded in cultural context. Instead of scoring single responses, it analyzes full output distributions and steers model behavior to quantify underlying cultural priors. The authors argue the approach helps developers detect bias that undermines localization and equitable global deployment.