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NeurIPS desk-rejected 178 papers for being "AI-generated". The detector flagged the track chairs' own papers at 24-69% [N]

2026-09-08 18:19 Science 🔥 42.2 heat score
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On September 8, 2026, the Position Paper Track at the NeurIPS conference rejected 18.4% of the 178 submissions using proprietary AI detectors for pangrams. This process was not subject to manual review and there was no appeal mechanism. After the conference adjusted the detection parameters, the acceptance rate dropped to 12.7%, but 22 papers still were rejected despite claiming that no AI was used due to excessive scores. Independent tests showed that all papers, including those submitted by the three conference chairs, were marked as likely to be generated by AI (24%-69%). Although Stanford research indicated that ESL researchers were susceptible to misjudgments, and those affected could switch to ICLR or ICML by September 25, the conference did not release calibration data for demographic characteristics.

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NeurIPSPangramStanford

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NeurIPS × Pangram1NeurIPS × Stanford1Pangram × Stanford1

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  • NeurIPS1
  • Pangram1
  • Stanford1

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R r/MachineLearning en 2026-09-08 18:19

NeurIPS desk-rejected 178 papers for being "AI-generated". The detector flagged the track chairs' own papers at 24-69% [N]

NeurIPS Position Paper Track 使用专有 AI 检测器 Pangram 直接拒稿了 18.4%(共 178 篇)投稿,未进行人工复核且无申诉机制。该检测器默认设置将近半提交标记为 90-100% AI,后被迫缩小文本窗口使通过率降至 12.7%;独立测试显示三位会议主席的论文被标记在 24%-69% 之间,若按规则将面临拒稿风险。另有 22 篇作者声明未使用 AI 却因检测分数超 0.5 被拒,且斯坦福研究显示 ESL 研究者易受误判影响,但会议未发布人口统计校准数据。受影响者可于 9 月 25 日前将论文转投 ICLR 或 ICML,该记录不构成违规标记。