Fine-Tuning GRPO for Authorial Style in Long-Form Story Generation

This research explores a focused application of fine-tuning for improved text generation, specifically targeting the nuanced task of emulating authorial style. The use of GRPO is a key component, hinting at a potentially novel approach to this challenging problem.

• •Focuses on fine-tuning for a specific stylistic goal: authorial style.
• •Employs GRPO, suggesting a potentially novel technique.
• •Addresses the challenging task of long-form story generation.