PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation

Kentaro Ueda, Takehiro Takayanagi

Personalizing story generation to individual users remains a core challenge in natural language generation. Existing approaches typically require explicit user feedback or fine-tun…