Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies

ArXi:2604.14111v1 Announce Type: new Large Language Models (LLMs) are now capable of generating highly fluent, human-like text. They enable many applications, but also raise concerns such as large scale spam, phishing, or academic misuse. While much work has focused on detecting LLM-generated text, only limited work has gone into understanding the stylistic differences between human-written and machine-generated text.