AI RESEARCH
More Aligned, Less Diverse? Analyzing the Grammar and Lexicon of Two Generations of LLMs
arXiv CS.CL
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ArXi:2605.06030v1 Announce Type: new This study contributes to a growing line of research in comparing LLM-generated texts with human-authored text, in this case, English news text. We focus in particular on the evaluation of syntactic properties through formal grammar frameworks. Our analysis compares two generations of LLMs in the context of two human-authored English news datasets from two different years.