AI RESEARCH
Creative Convergence or Imitation? Genre-Specific Homogeneity in LLM-Generated Chinese Literature
arXiv CS.CL
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ArXi:2603.14430v1 Announce Type: new Large Language Models (LLMs) have nstrated remarkable capabilities in narrative generation. However, they often produce structurally homogenized stories, frequently following repetitive arrangements and combinations of plot events along with stereotypical resolutions. In this paper, we propose a novel theoretical framework for analysis by incorporating Proppian narratology and narrative functions. This framework is used to analyze the composition of narrative texts generated by LLMs to uncover their underlying narrative logic.