让人工可编辑文化改编策略，提升长篇故事生成的可控性
PAUSE: Editable Strategy Artifacts for Long-Form Cultural Story Adaptation
- 将文化改编策略制成可编辑结构化文档，供人工干预
- 9个章节中，人工修改后输出均获评委首选，目标标记出现率达8/9
- 适合需要精准控制文化适配的跨文化传播项目
生成式AI在文化改编中日益重要，但其文化决策常隐藏于提示词、临时模型规划或最终文本中。本文提出PAUSE（暂停与更新策略编辑），将可编辑的改编策略作为人类干预的文化决策控制面。该策略为结构化实体，可被检查、修改，并投射至角色、实体及章节级本地化阶段。在两部中文源连载小说上测试，9组修改版与对照版章节对比中，评委全选修改版；标记审计显示，修改版有8/9包含目标标记，对照版0/9，且禁用标记在修改版中未出现，对照版全部存在。结果视为编辑一致性验证，非宣称输出具备文化权威性或文学质量提升。PAUSE为提升长篇生成中文化改编的可审查性和可争议性提供实用路径。
原文摘要 · Abstract (English)
Generative AI systems increasingly mediate cultural adaptation, but their cultural decisions are often hidden inside prompts, transient model plans, or final prose. We study PAUSE (Pause-And-Update Strategy Editing), an intervention that exposes an editable adaptation strategy as a human control surface for cultural decisions in long-form story adaptation. The strategy is a structured artifact that can be inspected, edited, and then projected through downstream character, entity, and chapter-localization stages. In two Chinese-source serialized novels, we test whether human edits to this strategy propagate into chapter-level prose. Across 9 edited-vs-control chapter comparisons, judges select the edited-strategy output in all 9; a marker audit shows target markers in 8/9 edited outputs and 0/9 controls, with forbidden markers absent from edited outputs and present in all controls. We frame these results as a smoke-scale edit-adherence study, not a claim that the outputs are culturally authoritative or literary-quality improvements. PAUSE offers one practical way to make AI-mediated cultural adaptation more inspectable and contestable before decisions propagate through long-form generation.
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