Author

Michaela Mahlberg

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#natural language process... Preprint Sep 2026

How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling

In this paper, we analyze how Large Language Models (LLMs) employ worldbuilding strategies, focusing on setting as one measurable dimension of storyworld construction. We compare 1,000 AI-generated stories per model in English and German with human-authored fiction from Project Gutenberg. Building on prior work, we ope...

Katrin Rohrbacher, Björn Nieth, Emmanuelle Salin et al. · 0 citations

#natural language process... May 2026

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework

This work proposes a context-aware evaluation framework in which human-likeness is assessed using a two-sample problem between the linguistic feature distribution of a human reference corpus for a given register and a corresponding LLM-generated corpus.

Björn Nieth, Marianna Gracheva, Michaela Mahlberg et al. · arXiv.org · 0 citations