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Towards Coherent and Consistent Use of Entities in Narrative Generation

ICML 2022 · Large language models › Language, safety and interpretability · approach: Controlled text generation · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add an entity memoryVanilla-LM · WikiPlots generated storieslong-range entity coherence (C): 3.29 -> 5.18Helped
Add an entity memoryVanilla-LM · WritingPrompts generated storieslong-range entity coherence (C): 5.22 -> 5.45Helped
Add an entity memoryVanilla-LM · WikiPlots human evaluationcoherence rating: 2.36 -> 2.59Helped
Use a dynamic rather than static entity memoryMneme-LM · WritingPrompts generated storiesnormalized attribute consistency (U): 30.81 -> 32.49Helped
Use a dynamic rather than static entity memoryMneme-LM · WikiPlots generated storiesnormalized attribute consistency (U): 32.97 -> 33.47Helped
Add a dynamic entity memoryVanilla-LM · WikiPlots testperplexity: 16.06 -> 15.97Helped
Add a dynamic entity memoryVanilla-LM · WritingPrompts testperplexity: 17.59 -> 17.44Helped
Remove memory initialization from entity prompts (ablation)D-Mneme-LM · WikiPlots testperplexity: 15.97 -> 16.61Hurt
Remove memory initialization from entity prompts (ablation)D-Mneme-LM · WritingPrompts testperplexity: 17.44 -> 18.22Hurt
Remove the entity-specific auxiliary loss (ablation)D-Mneme-LM · WikiPlots testperplexity: 15.97 -> 17.76Hurt
Remove the entity-specific auxiliary loss (ablation)D-Mneme-LM · WritingPrompts testperplexity: 17.44 -> 19.09Hurt
Add an entity memoryVanilla-LM · WikiPlots human evaluationconsistency rating: 3.07 vs. 3.05; 3.07 vs. 3.00No clear effect

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