AI Research
Steering Readerly Dynamics: Trajectory-Guided Story Generation with Large Language Models
A trajectory-guided approach targets the changing reader responses that shape narrative experience.
Large language models (LLMs) are increasingly used to generate stories, but these stories struggle to reproduce engaging readerly dynamics, the evolving reader responses that shape narrative experience.
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ArXiv CS.CL
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ArXiv CS.CL
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Generated insight by OnAirToday AI
Stories generated by large language models can fall short when they fail to reflect how reader responses evolve over time. Trajectory-guided generation points to a way of steering narratives around those changing responses.
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