AI conference ICLR is drowning in abstracts, with roughly 50,000 submissions before the deadline
ICLR 2027 received roughly 50,000 abstracts before its deadline, far above ICLR 2026's 19,500 valid submissions, straining peer review.
ICLR 2027 has collected about 50,000 abstracts roughly a week before the deadline, compared with around 19,500 valid submissions at ICLR 2026. The final count is expected to be lower as authors withdraw papers accepted at NeurIPS, but will remain far above last year. The surge is attributed to AI hype, corporate research incentives tied to publications, and AI tools dramatically speeding up paper writing. ICLR 2026 already suffered from low-quality AI-generated submissions with fabricated citations and reviewers using AI to cope, eroding trust in peer review.
- ICLR 2027 abstracts (~50,000) far exceed ICLR 2026's ~19,500 valid submissions.
- Authors hedge between ICLR and NeurIPS, so many abstracts will likely be withdrawn.
- A NeurIPS analysis found authors heavily used AI to write their submissions.
- ICLR 2026 saw fabricated citations in AI-generated papers and AI-assisted reviews.
- Corporate pay sometimes tied to publication records, fueling submission volume.
From the original article
1 min read at the-decoder.com
ICLR 2027 has already pulled in about 50,000 abstracts, up from 19,500 at ICLR 2026. The flood is driven by the AI hype, corporate pay tied to publication records, and above all, AI making it faster to crank out papers. That's only going to worsen existing quality problems with submissions and reviews.
By Matthias Bastian · the-decoder.com
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