|国家预印本平台
首页|Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search

Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search

Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search

来源:Arxiv_logoArxiv
英文摘要

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.

Parsa Ghaffari、Chris Hokamp

计算技术、计算机技术

Parsa Ghaffari,Chris Hokamp.Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search[EB/OL].(2025-04-03)[2025-05-04].https://arxiv.org/abs/2504.02426.点此复制

评论