ICLR 2027 投稿量暴增:截止前已收到约 5 万篇摘要

The Decoder:AI News(RSS)·2026-09-19 18:37·3小时前·Matthias Bastian
AI 导读

ICLR 2027 在投稿截止前一周已收到约 5 万篇摘要,远超 ICLR 2026 的约 1.95 万篇有效投稿。部分摘要来自作者观望 NeurIPS 结果后的占位投稿,最终数量会下降但仍将大幅超过去年。AI 让论文产出速度大幅提升,而 ICLR 2026 已因 AI 生成的低质投稿和评审而饱受困扰。

The Decoder:AI News(RSS)
47AI 编辑部评分,满分 100

ICLR 2027 投稿量暴增:截止前已收到约 5 万篇摘要

2026-09-19 18:37· 3小时前· Matthias Bastian
AI 导读

ICLR 2027 在投稿截止前一周已收到约 5 万篇摘要,远超 ICLR 2026 的约 1.95 万篇有效投稿。部分摘要来自作者观望 NeurIPS 结果后的占位投稿,最终数量会下降但仍将大幅超过去年。AI 让论文产出速度大幅提升,而 ICLR 2026 已因 AI 生成的低质投稿和评审而饱受困扰。

ICLR 2027 has already pulled in about 50,000 abstracts, and the deadline isn't until next week. ICLR 2026 saw around 19,500 valid submissions. Some abstracts likely come from authors hedging their bets, waiting on NeurIPS results and planning to withdraw if accepted there. So the final count will be lower, but still far above last year.

The broader AI hype is likely fueling this flood, as is corporate research spending, where pay is sometimes tied to publication records. But the biggest factor is probably that AI makes it much faster to crank out papers. A NeurIPS analysis found that authors used AI heavily to write their submissions.

ICLR 2026 already struggled with low-quality AI-generated submissions and reviews that eroded trust in peer review. Authors submitted AI-generated papers packed with fabricated citations, and reviewers turned to AI just to keep up with the volume. With even more papers flooding in this year, expect those complaints to get louder.

via Reddit

来源:The Decoder:AI News(RSS)· the-decoder.com