Curated by Li Jiang (McGill University) and Xiao Liu (New York University)
Consumer simulation. Language models as synthetic respondents, panels and digital twins, and the evidence on when their answers match real consumers and when they fail.
Content generation and personalization. Language models that write and tailor ads, emails and product content, with field tests of how that content performs.
Model and algorithm augmentation. Model outputs used as priors, features or extra training data, so marketing models, experiments and recommenders learn faster and more accurately.