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arXiv: cs.AI preprintsInternational5 November 2026

How Well Can Large Language Models Impersonate Individual Authors? A Comparative Evaluation

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arXiv:2611.05771v1 Announce Type: cross Abstract: This study investigates the authorship impersonation capacity of six widely used large language models (LLMs): Gemini 3 Pro, Claude Opus, GPT 5.2, GPT 5.2 Pro, DeepSeek 3.2, and Grok 4.1 Fast. The evaluation was conducted using short product review texts selected to ensure high within author consistency in individual writing style. Two types of in context prompt were designed: a simple prompt with minimal instruction and a complex prompt incorporating explicit stylometric guidance for mimicry. Authorship mimicry was evaluated using a cosine dis
Source: arXiv: cs.AI preprints

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