StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models
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Abstract (arXiv)
Human writers often begin their stories with an overarching mental scene, where they envision the interactions between characters and their environment. Inspired by this creative process, we propose a novel approach to long-form story generation, termed hybrid bottom-up long-form story generation, using multi-agent simulations. In our method, agents interact within a dynamic sandbox environment, where their behaviors and interactions with one another and the environment generate emergent events. These events form the foundation for the story, enabling organic character development and plot progression. Unlike traditional top-down approaches that impose rigid structures, our hybrid bottom-up approach allows for the natural unfolding of events, fostering more spontaneous and engaging storytelling. The system is capable of generating stories exceeding 10,000 words while maintaining coherence and consistency, addressing some of the key challenges faced by current story generation models. We achieve state-of-the-art performance across several metrics. This approach offers a scalable and innovative solution for creating dynamic, immersive long-form stories that evolve organically from agent-driven interactions.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 14 of its 22 references that are in the map. First posted on arXiv 13 Oct 2025.
Builds on
14 of 22 references.
References · 14
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- 2023AgentSims: An Open-Source Sandbox for Large Language Model Evaluationcited by 88
- 2020UNION: An Unreferenced Metric for Evaluating Open-ended Story Generationcited by 60
- 2024Agents' Room: Narrative Generation through Multi-step Collaborationcited by 57
- 2023Epidemic Modeling with Generative Agentscited by 49
- 2023CGMI: Configurable General Multi-Agent Interaction Frameworkcited by 42
- 2023The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agentscited by 24
- 2023Improving Pacing in Long-Form Story Planningcited by 21
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Citing papers per year: 2026: 4.
4 papers.
- 2026When Stories Evolve: Benchmarking LLM Storytelling Across Agent Architectures in Open-Ended World Simulationscited by 1
- 2026Towards High-Level Semantic Intelligencecited by 0
- 2026ANIMASK: What the Model Contributes to Role Play in Simulated Story Worldscited by 0
- 2026Scaling Long-Form Story Generation via Narrative State Trackingcited by 0
- 2026Scaling Long-Form Story Generation via Narrative State Tracking28 Sep 2026
- 2026ANIMASK: What the Model Contributes to Role Play in Simulated Story Worlds15 Sep 2026
- 2026When Stories Evolve: Benchmarking LLM Storytelling Across Agent Architectures in Open-Ended World Simulations16 Aug 2026
- 2026Towards High-Level Semantic Intelligence27 Jul 2026