نسخة أولية وصول مفتوح
Self-Consuming Generative Models with Co-Evolving Human Preferences
Generative models are increasingly trained in self-consuming iterative loops, where users curate preferred samples from model-generated candidates and the curated samples are used to train future generations of the model. Prior work has largely assumed fixed user preferences, but in practice exposure to model outputs g …