arXiv:2605. 03202v2 Announce Type: replace Abstract: Large language models offer a tempting solution to address the peer review crisis.
By Joachim Baumann, Jiaxin Pei, Sanmi Koyejo, Dirk Hovy
AI-assisted peer review is increasingly discussed and adopted as a tool to support the scientific publishing process, yet there is little systematic understanding of how publication venues regulate its use or of how capable current AI review systems are. We address these questions by first surveying reviewer-facing AI policies across 111 leading AI/NLP conferences and medical journals, revealing substantial regulation differences between the two communities.
arXiv:2608. 03581v1 Announce Type: cross Abstract: AI-assisted peer review is increasingly discussed and adopted as a tool to support the scientific publishing process, yet there is little systematic understanding of how publication venues regulate its use or of how capable current AI review systems are.
By Alexander M. Fichtl, Lukas Ellinger, Josefin Kelber, Kry\v{s}tof Ol\'ik, Georg Groh
The paper introduces a policy‑conditioned AI‑use detection framework for academic publishing, arguing that traditional AI detection tools misalign with venue rules by merely identifying AI‑generated text. Instead, the proposed system treats the governing policy as an explicit input, generating hypotheses, evidence, calibration, and uncertainty rather than binary verdicts. It outlines how to benchmark compliance, evaluate true positive rates at venue‑specified false positive thresholds, and emphasizes the need for structured disclosure, tool routing, and contestable findings.
By Jairo Diaz-Rodriguez, Mumin Jia
arXiv:2606. 10159v1 Announce Type: cross Abstract: AI is increasingly used to support scientific peer review, from manuscript screening, reviewer assistance to editorial triage.
By Lin Li, Qi Zhang, Xander Davies, Jianing Qiu, Yarin Gal
arXiv:2608. 14625v1 Announce Type: cross Abstract: Academic peer review is under mounting strain: NeurIPS 2025 received 21,575 submissions, ICLR 2025 received 11,603, and ICML 2025 received 12,107.
By Rodrigo Martins Boos