Crafting epic tales with AI's dynamic outlining and memory superpowers.
This paper introduces DOME, a method for generating coherent long-form stories by combining dynamic outlining with memory enhancement.
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https://arxiv.org/abs/2412.13575
🤔 Original Problem:
Existing methods for long-form story generation struggle with maintaining contextual consistency and coherent plot development over extended narratives.
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🔧 Solution in this Paper:
→ DOME incorporates two key components: a Dynamic Hierarchical Outline (DHO) mechanism and a Memory-Enhancement Module (MEM).
→ DHO generates rough outlines based on novel writing theory, then expands them into detailed outlines dynamically during writing.
→ This approach fuses planning and writing stages, improving plot coherence and adaptability.
→ MEM uses temporal knowledge graphs to store and access generated content, providing relevant context during generation.
→ It reduces conflicts and enhances story coherence through semantic filtering of retrieved information.
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🔑 Key Insights from this Paper:
→ Combining dynamic outlining with memory enhancement improves long-form story coherence
→ Incorporating novel writing theory into outline planning ensures plot completeness
→ Using temporal knowledge graphs for story content storage and retrieval reduces contextual conflicts
→ Fusing planning and writing stages allows for better adaptation to generation uncertainty
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📊 Results:
→ Improved plot coherence by 6.87% on Ent-2 metric
→ Reduced contextual conflicts by 87.61%
→ Generated longer stories (7,113 words vs 3,904 for baseline)
→ Achieved better coherence scores across all metrics
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