LLM assisted writing deserves empirical evaluation

2026-08-22

AI Summary

研究通过分析69,209篇健康信息学论文，评估了LLM辅助写作的影响，提倡基于学术质量和责任而非工具使用来评价论文。

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.

Problem

• LLM-assisted writing
• empirical evaluation
• clarity
• integrity
• equity

Innovation

• LLM-assisted writing
• scholarly quality
• accountability
• citation practices
• global authorship