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Saturday, September 26, 2026Just updated

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Fact-Check Corrects NeurIPS 2026 Rejection Criteria and Pangram False Positive Rates

A fact-check of the NeurIPS 2026 Position Track rejections reveals that the automated screening tool Pangram v3.3.2 produced false positives on human-written content polished by AI. The original narrative that desk-rejects were based on a simple "0.8 score + solo author" rule was incorrect. The actual criteria for the 79-paper tier required an AI detection score of 0.8 plus either multiple solo-authored submissions or an author with another desk reject. The 22-paper tier included authors who left the AI declaration blank, not only those who denied AI use. ## Pangram Performance and False Positives Pangram’s own internal report benchmarks v3.3.2, the specific version used by NeurIPS, showing it incorrectly classified 14.9% of human-written, AI-polished peer reviews as fully "AI" on an easy subset, and 4.5% on a harder subset. This performance was worse than both v3.0 and v4. The track's policy explicitly allowed AI polishing. An ICML 2026 paper notes that per-window false-positive rates should not be extrapolated to whole papers in either direction. ## Clarifications on Rejection Criteria and Bias Claims The fact-check corrects several misconceptions: * Rejection Tiers: The 79-paper tier required an AI detection score of 0.8 plus multiple solo-authored submissions or another desk reject. The 22-paper tier included authors who left the AI declaration blank. * ESL Bias Claims: The widely cited 61% false positive rate for non-native English speakers (ESL) comes from a 2023 study testing seven *other* detectors. Pangram’s v3.3.2 report claims 0 false positives out of 89 on the same TOEFL essays, though this is vendor data and not independently replicated. * Independent Researchers: The reference to "independent researchers" referred to one person, Sergey Berezin, who explicitly makes no claim about how the chairs' papers were written. ## Current Status The total number of conditional papers cleared after the initial desk rejects remains undisclosed. The full analysis is available on the author’s blog.

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