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A Character-Centric Neural Model for Automated Story Generation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add character embedding to the generator and action predictor (ablation) | Character-centric story model · Movie plot summaries | perplexity: 55.27 -> 52.93 | Helped |
| add character embedding (ablation) | Character-centric story model · Movie plot summaries, human eval | character believability: 2.45 -> 2.87 | Helped |
| add character embedding (ablation) | Character-centric story model · Movie plot summaries, human eval | explainability: 2.51 -> 2.93 | Helped |
| add action predictor stage (ablation) | Character-centric story model · Movie plot summaries | perplexity: 60.48 -> 52.93 | Helped |
| add action predictor stage (ablation) | Character-centric story model · Movie plot summaries, human eval | fluency: 2.39 -> 2.74 | Helped |
| character-centric vs Hierarchical (state-of-the-art) on BLEU-1, perplexity and fluency | Character-centric story model · Movie plot summaries | BLEU-1 / perplexity / fluency: 30.91 -> 30.78 BLEU-1; 52.28 -> 52.93 PPL | Hurt |
| character-centric vs Event Representation on BLEU and perplexity | Character-centric story model · Movie plot summaries | BLEU-4 / PPL: 0.23 -> 0.32 BLEU-4 | No clear effect |
| character-centric vs Hierarchical on overall human score | Character-centric story model · Movie plot summaries, human eval | overall score: 2.72 -> 2.85 | Helped |
Closest papers by meaning
- Event Representations for Automated Story Generation with Deep Neural Nets (AAAI 2018 · similarity 0.89)
- Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models (CVPR 2024 · similarity 0.88)
- Story Realization: Expanding Plot Events into Sentences (AAAI 2020 · similarity 0.88)
- StoryGPT-V: Large Language Models as Consistent Story Visualizers (CVPR 2025 · similarity 0.86)
- Agents' Room: Narrative Generation through Multi-step Collaboration (ICLR 2025 · similarity 0.85)
- One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt (ICLR 2025 · similarity 0.85)
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