World-State Transformations for Neuro-symbolic Interactive Storytelling

ArXi:2605.24719v1 Announce Type: cross Large Language Models (LLMs) have changed the possibilities of Interactive Storytelling systems that process free-text user input. However, as of these systems are built, evidence continues to mount regarding the story coherence problems that arise when relying solely on them. Recent research suggests that LLMs can effectively predict state changes within rule-based Interactive Storytelling systems, triggering pre-programmed world-state transformations.