A Stylometric Application of Large Language Models

Fuente: arXiv
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Autori principali: Stropkay, Harrison F., Chen, Jiayi, Latifi, Mohammad J., Rockmore, Daniel N., Manning, Jeremy R.
Natura: Preprint
Pubblicazione: 2025
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author Stropkay, Harrison F.
Chen, Jiayi
Latifi, Mohammad J.
Rockmore, Daniel N.
Manning, Jeremy R.
author_facet Stropkay, Harrison F.
Chen, Jiayi
Latifi, Mohammad J.
Rockmore, Daniel N.
Manning, Jeremy R.
contents We show that large language models (LLMs) can be used to distinguish the writings of different authors. Specifically, an individual GPT-2 model, trained from scratch on the works of one author, will predict held-out text from that author more accurately than held-out text from other authors. We suggest that, in this way, a model trained on one author's works embodies the unique writing style of that author. We first demonstrate our approach on books written by eight different (known) authors. We also use this approach to confirm R. P. Thompson's authorship of the well-studied 15th book of the Oz series, originally attributed to F. L. Baum.
format Preprint
id arxiv_https___arxiv_org_abs_2510_21958
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Stylometric Application of Large Language Models
Stropkay, Harrison F.
Chen, Jiayi
Latifi, Mohammad J.
Rockmore, Daniel N.
Manning, Jeremy R.
Computation and Language
Digital Libraries
We show that large language models (LLMs) can be used to distinguish the writings of different authors. Specifically, an individual GPT-2 model, trained from scratch on the works of one author, will predict held-out text from that author more accurately than held-out text from other authors. We suggest that, in this way, a model trained on one author's works embodies the unique writing style of that author. We first demonstrate our approach on books written by eight different (known) authors. We also use this approach to confirm R. P. Thompson's authorship of the well-studied 15th book of the Oz series, originally attributed to F. L. Baum.
title A Stylometric Application of Large Language Models
topic Computation and Language
Digital Libraries
url https://arxiv.org/abs/2510.21958