LLM assisted writing deserves empirical evaluation

Xuan Zhong Feng; Yi Lin; Yiye Zhang; Chunhua Weng; Yifan Peng

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arXiv · 2608.22124

LLM assisted writing deserves empirical evaluation

Xuan Zhong Feng·Yi Lin·Yiye Zhang·Chunhua Weng·Yifan Peng

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Abstract

LLM-assisted writing is often treated as a detection problem, as it raises questions about clarity, integrity, equity, and evaluation. An analysis of 69,209 Health Informatics papers links it to more focused presentation, broader citation practices, and more globally distributed authorship. These patterns do not prove better science, but they support evaluating manuscripts by scholarly quality and accountability rather than by tool use.

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Xuan Zhong Feng, Yi Lin, Yiye Zhang, Chunhua Weng, Yifan Peng. 2026-08-22. LLM assisted writing deserves empirical evaluation. https://arxiv.org/abs/2608.22124

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