Story Imprinting: Fine-Tuning on Synthetic Fiction Shifts AI Assistant Persona

Researchers investigate how fine-tuning a language model on synthetic stories alters the helpful-assistant persona it was trained to play. They find the model's behavior in multi-turn conversations with users changes after such training, suggesting the assistant absorbs traits from the human-like characters it resembles. The work is presented as an arXiv preprint and falls under AI safety and alignment research.