arXiv Artificial Intelligence

Zero-shot reasoning for simulating scholarly peer-review

Zero-shot reasoning for simulating scholarly peer-review

Quick summary

arXiv:2510.02027v2 Announce Type: replace Abstract: Scholarly publishing requires scalable scrutiny supported by auditable evidence. This paper presents a two-component benchmark of xPeer, the peer-review simulation engine delivered through the xPeerd.com web front-end. The operational component analyzes 352 of 500 simulation records retained under stable-task criteria across disciplines and review modes. The human-reference component releases 1,108 version-1 F1000Research manuscript records with linked human reports and applies a prespecified two-human/two-xPeer comparison. Human-review text

Key takeaways

  • arXiv:2510.02027v2 Announce Type: replace Abstract: Scholarly publishing requires scalable scrutiny supported by auditable evidence.
  • This paper presents a two-component benchmark of xPeer, the peer-review simulation engine delivered through the xPeerd.com web front-end.
  • The operational component analyzes 352 of 500 simulation records retained under stable-task criteria across disciplines and review modes.

Why it matters

This model development creates a new option for users and a new testing obligation for developers. A fixed evaluation set comparing quality, cost and failure behavior is more useful than launch claims.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗