Presentation-only revisions guided by AI feedback can boost AI reviewer scores by over 1 point on average with 75% success rate across tested systems.
Mind the Blind Spots: A Focus-Level Evaluation Framework for
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Concern alignment is a new diagnostic framework that audits AI peer reviews at the level of individual concerns via match graphs to reveal gaps in detection, calibration, and prioritization beyond verdict agreement.
ProReviewer is an MDP-formulated proactive peer review agent trained with SFT and RL on an 8B model that outperforms larger frontier LLMs on review quality metrics.
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No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
Presentation-only revisions guided by AI feedback can boost AI reviewer scores by over 1 point on average with 75% success rate across tested systems.
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What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review
Concern alignment is a new diagnostic framework that audits AI peer reviews at the level of individual concerns via match graphs to reveal gaps in detection, calibration, and prioritization beyond verdict agreement.
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From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
ProReviewer is an MDP-formulated proactive peer review agent trained with SFT and RL on an 8B model that outperforms larger frontier LLMs on review quality metrics.