Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search
This addresses the problem of restricted narrative exploration for users in interactive storytelling, though it is incremental as it builds on existing LLM and MCTS techniques.
The authors tackled the limitation of linear chat-based interfaces for interactive storytelling by developing Narrative Studio, a browser-based environment that enables branching narrative exploration using LLMs and Monte Carlo Tree Search, resulting in more diverse and robust story development.
Interactive storytelling benefits from planning and exploring multiple 'what if' scenarios. Modern LLMs are useful tools for ideation and exploration, but current chat-based user interfaces restrict users to a single linear flow. To address this limitation, we propose Narrative Studio -- a novel in-browser narrative exploration environment featuring a tree-like interface that allows branching exploration from user-defined points in a story. Each branch is extended via iterative LLM inference guided by system and user-defined prompts. Additionally, we employ Monte Carlo Tree Search (MCTS) to automatically expand promising narrative paths based on user-specified criteria, enabling more diverse and robust story development. We also allow users to enhance narrative coherence by grounding the generated text in an entity graph that represents the actors and environment of the story.