mlsanityData to 7 Oct 2026

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

arXiv 2504.02426 ↗First posted 3 Apr 2025cs.AIcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 9 of its 28 references that are in the map. First posted on arXiv 3 Apr 2025.

Builds on

9 of 28 references.

References · 9

  1. 2018Hierarchical Neural Story Generationcited by 1,182
  2. 2018Plan-And-Write: Towards Better Automatic Storytellingcited by 232
  3. 2023Art or Artifice? Large Language Models and the False Promise of Creativitycited by 168
  4. 2020Content Planning for Neural Story Generation with Aristotelian Rescoringcited by 92
  5. 2024Are Large Language Models Capable of Generating Human-Level Narratives?cited by 78
  6. 2021OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metricscited by 61
  7. 2023Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequencescited by 31
  8. 2024What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluationcited by 17
  9. 2023STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generationcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.