You can align generative AI outputs to target distributions by intelligently filtering multiple model queries—no model retraining needed—and this approach is provably optimal for large batches of outputs.
This paper addresses how to align AI-generated outputs with user-specified attribute distributions through post-processing, without modifying the model itself. The authors develop algorithms that select outputs from multiple queries to a generative model, ensuring attributes like gender or age match target distributions.