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Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion

Chang, Hwan et al.
arXiv (All) · Papers
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computation-and-language
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
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