Theory-Grounded Evaluation Exposes the Authorship Gap in LLM Personalization
Stylistic personalization - making LLMs write in a specific individual's style, rather than merely adapting to task preferences - lacks evaluation grounded in authorship science. We show that grounding evaluation in authorship verification theory transforms what benchmarks can measure. Drawing on three measurement traditions - LUAR (a trained authorship verification model), an LLM-as-judge with decoupled trait matching, and classical function-word stylometrics - we evaluate four inference-time personalization methods across 50 authors and 1,000 generations. The theory-grounded metric (LUAR) provides what ad hoc alternatives cannot: calibrated baselines (human ceiling 0.756, cross-author f...
| Authors | Yash Ganpat Sawant |
|---|---|
| Primary category | cs.CL |
| Published | 29 April 2026 |
| Last updated at source | 14 August 2026 |
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