Beyond "AI Language": The case for the idiolectal nature of LLM output

arXiv:2608.06589 · cs.CL, cs.AI · Submitted 2026-08-06 · Read on arXiv

Karolina Rudnicka, Thomas Stephan Juzek

cs.CL, cs.AI

Submitted: 2026-08-06

Updated: 2026-08-10

Comments: 33 pages, 6 figures, 6 tables. Submitted as a chapter to the post-workshop volume "Corpus Linguistics 2040" (Digital Linguistics series)

Code: https://github.com/fsu-nlp/ai-idiolects

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Lexical Diversity — 6× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Composition — 3× in this paper · explained in 2 episodes
Principal Component Analysis (PCA) — 3× in this paper · explained in 8 episodes
Core — 2× in this paper · explained in 2 episodes
Language Models (LLMs) — 2× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 2× in this paper · explained in 9 episodes
Papers — 2× in this paper · explained in 3 episodes
Reinforcement Learning — 2× in this paper · explained in 4 episodes
Adam — 1× in this paper · explained in 3 episodes
Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Clarity — 1× in this paper · explained in 3 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
Pragmatics — 1× in this paper · explained in 2 episodes
Trace — 1× in this paper · explained in 2 episodes

Sources

Related papers