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MUSE: Theory-Guided Story Engine for LLM Narrative Generation
A new arXiv paper in computational linguistics introduces MUSE, a story-generation engine that draws on narrative theory to steer how plot, character, and language choices fit together across planning, drafting, and revision. The authors frame story guidance as facing two bottlenecks, pointing to the quality of the guidance and how it is supplied. The abstract as posted is truncated, so full details of the method and results were not available.