From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives

Excerpt

arXiv:2607.00918v2 Announce Type: replace-cross Abstract: Although large language models (LLMs) have demonstrated impressive creative fiction generation, they struggle to maintain narrative consistency and coherent plot lines in long-form stories. In this work, we introduce MAGNET, a multi-agent goal-driven narrative engine for storytelling, which generates stories with persona-grounded character agents that propose actions based on a shared structured state and evolving story goals. We evaluate