mlsanityData to 7 Oct 2026

LLM assisted writing deserves empirical evaluation

arXiv 2608.22124 ↗First posted 22 Aug 2026cs.CL cs.CYcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 5 references that are in the map. First posted on arXiv 22 Aug 2026.

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3 of 5 references.

References · 3

  1. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
  2. 2024Delving into LLM-assisted writing in biomedical publications through excess vocabularycited by 75
  3. 2023Friend or Foe? Exploring the Implications of Large Language Models on the Science Systemcited by 15

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