11 citations · 17 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
Computational Hermeneutics: Evaluating generative AI as a cultural technology
Cody Kommers, Ruth Ahnert, Maria Antoniak +35
Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be measured rather than fundament…
What Does AI Do for Cultural Interpretation? A Randomized Experiment on Close Reading Poems with Exposure to AI Interpretation
Jiayin Zhi, Hoyt Long, Richard Jean So +1
AI demonstrates unprecedented reasoning capabilities, but its increasing integration into human reasoning via automated reading and summarization has provoked debate about its use…
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…