mlsanityData to 14 Oct 2026

Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models

arXiv 2605.29625 ↗First posted 28 May 2026cs.AIcited by 0

On the map: LLM agents and tool use → Multimodal and embodied agents

Abstract (arXiv)

The topic of Co-creation, i.e., AI agents interacting with humans to generate outputs (e.g., art), has gained significant attention recently. However, most studies focus on adult-human interactions in a digital setting. This paper explores a novel ludic co-creation scenario involving children and Large Language Models (LLMs) interacting through a physical board game to create written stories. Our goal is to develop a multi-agent framework capable of producing high-quality narratives suitable for young players. At the core of our approach is an iterative Writer-Editor process in which one LLM generates stories while another evaluates them and provides feedback for refinement. Through a simulation study involving multiple LLMs, we show that this iterative interaction consistently improves the perceived quality of generated stories across successive loops. The results indicate that a small number of refinement steps may be sufficient to achieve high-quality outputs in interactive storytelling systems.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 26 of its 37 references that are in the map. First posted on arXiv 28 May 2026.

Builds on

26 of 37 references.

References · 26

  1. 2022Training language models to follow instructions with human feedbackcited by 15,971
  2. 2017Proximal Policy Optimization Algorithmscited by 15,215
  3. 2024The Llama 3 Herd of Modelscited by 14,715
  4. 2017Deep reinforcement learning from human preferencescited by 3,912
  5. 2022Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedbackcited by 3,720
  6. 2023Mistral 7Bcited by 3,164
  7. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
  8. 2020Learning to summarize from human feedbackcited by 2,588
  9. 2019Fine-Tuning Language Models from Human Preferencescited by 2,150
  10. 2024Gemma 2: Improving Open Language Models at a Practical Sizecited by 1,998
  11. 2023A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionscited by 1,601
  12. 2023OpenAssistant Conversations -- Democratizing Large Language Model Alignmentcited by 721
14 more
  1. 2023Instruction Tuning with GPT-4cited by 686
  2. 2022Large Language Models Can Self-Improvecited by 664
  3. 2024Training Language Models to Self-Correct via Reinforcement Learningcited by 426
  4. 2023Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervisioncited by 318
  5. 2024Self-Preference Bias in LLM-as-a-Judgecited by 258
  6. 2024Large Language Models and Games: A Survey and Roadmapcited by 93
  7. 2023Language Model Self-improvement by Reinforcement Learning Contemplationcited by 75
  8. 2023MarioGPT: Open-Ended Text2Level Generation through Large Language Modelscited by 64
  9. 2023PACE: Improving Prompt with Actor-Critic Editing for Large Language Modelcited by 20
  10. 2024What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluationcited by 17
  11. 2018Evaluating Creativity in Computational Co-Creative Systemscited by 9
  12. 2022Story Designer: Towards a Mixed-Initiative Tool to Create Narrative Structurescited by 6
  13. 2023An Evaluation of State-of-the-Art Large Language Models for Sarcasm Detectioncited by 3
  14. 2025Evaluating Quality of Gaming Narratives Co-created with AIcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025StoryWriter: A Multi-Agent Framework for Long Story Generation
  2. 2025Creativity in LLM-based Multi-Agent Systems: A Survey
  3. 2024Agents' Room: Narrative Generation through Multi-step Collaboration
  4. 2025BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation
  5. 2025Towards Enhanced Immersion and Agency for LLM-based Interactive Drama
  6. 2023Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AI
  7. 2026When Stories Evolve: Benchmarking LLM Storytelling Across Agent Architectures in Open-Ended World Simulations
  8. 2025Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective