通过属性引导的体裁扩展扩展非以故事为中心数据的创意写作规模
Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion
- Chung-Ang University（中央大学）
- LG AI Research（LG AI研究院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究提出属性引导的体裁扩展框架，构建涵盖13种体裁的5万示例语料库，经微调的模型在多类创意写作任务上表现优于基线模型，证实受控体裁扩展是提升创意写作能力的关键。
AI中文摘要：
大型语言模型（LLM）的高质量创意写作数据仍以故事为中心的数据为主，这限制了模型遵循多样创意格式的结构和功能规范的能力。我们提出一种属性引导的体裁扩展框架，用于将创意写作数据的规模扩展至故事生成之外的领域。该框架将主题广度与体裁形式控制分离，利用人类创作的故事提示作为多样的创意种子，同时使用人工整理的体裁属性来约束独特的结构、风格和格式规范。我们将这些要素结合起来，提示强大的LLM生成符合体裁规范的查询-响应对，随后对其进行质量筛选。应用该框架，我们构建了Multi-Genre Collection，这是一个包含5万个示例的语料库，涵盖13种创意体裁，包括故事、说唱、歌词、剧本、游戏设计、角色设计及其他创意格式。在分布外写作基准和保留体裁诊断任务上的实验表明，在我们的数据上微调的模型不仅始终优于基础模型和专业写作基线，还优于在现有写作语料库上训练的模型。体裁数量消融实验进一步表明，受控的体裁扩展而非仅以故事为中心的扩展，是提升创意写作能力的关键驱动因素。
英文摘要：
High-quality creative writing data for large language models (LLMs) remains dominated by story-centric data, limiting models' ability to follow the structural and functional conventions of diverse creative formats. We propose an attribute-guided genre expansion framework for scaling creative writing data beyond story generation. By separating thematic breadth from genre-form control, our framework leverages human-authored story prompts as diverse creative seeds, while utilizing manually curated genre attributes to enforce distinct structural, stylistic, and formatting conventions. We combine these to prompt strong LLMs for genre-faithful query-response pairs, which are then quality-filtered. Applying this framework, we construct the Multi-Genre Collection, a 50K-example corpus spanning 13 creative genres, including story, rap, lyrics, scripts, game design, character design, and other creative formats. Experiments across out-of-distribution writing benchmarks and held-out genre diagnostics demonstrate that models fine-tuned on our data consistently surpass not only base models and writing-specialized baselines, but also models trained on existing writing corpora. Genre-count ablations further indicate that controlled genre expansion, rather than story-centric scaling alone, is a key driver of robust creative writing capability.
