Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation

📰 ArXiv cs.AI

Learn how to use graph-based reasoning for complex narrative generation with PLOTTER, a framework that improves narrative coherence and consistency

advanced Published 25 Apr 2026
Action Steps
  1. Build a graph representation of a narrative using PLOTTER
  2. Run graph-based reasoning algorithms to generate narrative plans
  3. Configure the framework to incorporate contextual logical consistency and character development
  4. Test the generated narratives for coherence and consistency
  5. Apply PLOTTER to various narrative generation tasks, such as scriptwriting or storytelling
Who Needs to Know This

AI researchers and engineers working on natural language generation and narrative planning can benefit from this framework to create more coherent and engaging stories

Key Insight

💡 Graph-based reasoning can improve narrative coherence and consistency in complex narrative generation

Share This
📚💡 Introducing PLOTTER, a graph-based framework for complex narrative generation! 📝 Improve narrative coherence and consistency with this innovative approach #narrativegeneration #LLMs

Full Article

Title: Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation

Abstract:
arXiv:2604.21253v1 Announce Type: cross Abstract: While LLMs demonstrate remarkable fluency in narrative generation, existing methods struggle to maintain global narrative coherence, contextual logical consistency, and smooth character development, often producing monotonous scripts with structural fractures. To this end, we introduce PLOTTER, a framework that performs narrative planning on structural graph representations instead of the direct sequential text representations used in existing wo
Read full paper → ← Back to Reads

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