Products of Experts (PoE) are a class of probabilistic models that combine multiple models by multiplying their probability distributions and normalizing the result. Liu et al. extended this framework to controlled text generation in NLP and demonstrated that the PoE approach can steer the language model toward desired outputs while preserving the fluency and diversity of the generated text. In this approach, a base model, referred to as a prior, is combined with expert and anti-expert models, which model text with desirable and undesirable attributes, respectively.