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Literary Non-Style in LLM-Generated Text

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Computer Science > Computation and Language

arXiv:2607.17228 (cs)
[Submitted on 19 Jul 2026]

Title:Literary Non-Style in LLM-Generated Text

Authors:Cory Massaro
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Abstract:Prior work on LLM-generated text has demonstrated quantitative and qualitative departures from text produced by humans. LLM-generated texts differ from human writing in style, resulting in a characteristic textual "feel," while the semantic range of LLMs is much restricted compared to that of humans. In this contribution, I note simple but consistent patterns in the statistical distribution of n-grams within LLM-generated text. Via qualitative analysis of these n-grams, I reveal deficiencies in LLM style. Because higher-order n-grams correlate to semantic content, I conclude that questions of style and semantics are not cleanly separable.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2607.17228 [cs.CL]
  (or arXiv:2607.17228v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.17228
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Cory Massaro [view email]
[v1] Sun, 19 Jul 2026 12:33:39 UTC (627 KB)
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