AI伪造论文挑战IEEE Access防线
IEEE Spectrum报道了一项实验：免费版ChatGPT和Gemini生成了一篇描述从未开展研究的论文，Analemma的FARS系统则生成了另一篇描述AI计算研究的论文。两篇论文均由IEEE Access配合筛查，但均未被接收、送审或独立验证，并暴露出伪造引用、图像乱码等问题。报告还引用估算称，2025年可检测到LLM影响的学术论文占57%，高于2023年的12%，但强调检测到AI使用并不等于论文就是低质量的“AI垃圾”。
这项筛查实验揭示了现有出版防线的局限，也表明学术诚信体系需要区分真实研究与看似可信的AI生成内容，而不能把全部核验负担交给志愿审稿人。
Science has a spam problem. And the spam filter is getting clogged up.
According to all reports, academic publishing is drowning in what has come to be called AI slop: low-quality, mass-produced content generated with AI. By 2025, an estimated 57 percent of all published academic articles exhibited detectable evidence of large language model (LLM) influence, a massive jump from 12 percent in 2023. What’s more, over 12 percent of Nature Communications reviews were found to be completely AI-generated in 2025.
Given that for every 40 papers showing statistical evidence of AI usage in 2025, only one formally disclosed it, these figures likely grossly underestimate LLM involvement today. Of course, evidence of AI use doesn’t necessarily mean a paper is slop. But some estimates suggest that hundreds of thousands of fake, often AI-generated, publications are now produced annually.
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