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About this paper
Jianghao Lin, Rong Shan, Jiachen Zhu, Yunjia Xi, Yong Yu, Weinan Zhang
Researchers at Shanghai Jiao Tong University highlight an overwhelming influx of low-quality, AI-generated survey papers on preprint servers, labeling it a 'DDoS attack' on the research community, evidenced by a post-2022 surge in such submissions on arXiv. The work proposes policy adjustments and a 'Dynamic Live Surveys' framework to restore quality and foster responsible AI use in academic synthesis.
Key insights
- Large Language Models (LLMs) have lowered the barrier to survey paper production, enabling high-volume, low-effort generation that strains the research ecosystem's capacity for quality assessment.
- The 'survey paper DDoS attack' is not merely an inconvenience but a systemic threat that can obscure genuine advances, propagate errors, and undermine the foundational integrity of academic knowledge.
- While AI can assist in survey writing, its current misuse necessitates a paradigm shift towards responsible integration and innovative structures like 'Dynamic Live Surveys' to leverage AI's strengths without sacrificing human critical synthesis.
Summary by alphaXiv.
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