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cs.CL2026
Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation
Zini Yang, Emily Wenger, Richard Jean So +1
When a large language model (LLM) writes Harry Potter fanfiction, it can produce fundamental elements of the Hogwarts universe, such as recognizable places and characters. Human-wr…
cs.CL2026
Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling
Peiqi Sui, Yutong Zhu, Tianyi Cheng +4
LLMs have so far failed both to generate consistently compelling stories and to recognize this failure--on the leading creative-writing benchmark (EQ-Bench), LLM judges rank zero-s…
cs.CL2026
Generative AI & Fictionality: How Novels Power Large Language Models
Edwin Roland, Richard Jean So
Generative models, like the one in ChatGPT, are powered by their training data. The models are simply next-word predictors, based on patterns learned from vast amounts of pre-exist…