A study by researchers at New York University and The University of Texas at Austin found that many of 14 language models used language features linked to human processing difficulty more often than meaning-matched paraphrases. The findings point to differences in how models and people structure English, but the researchers did not directly test whether readers found the text tiring or harder to understand.
Study Finds AI Text Often Uses Six Difficulty-Linked Language Patterns — AI News Blitz