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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Fine-tuned LLMs trained on social science publication records outperform experts and frontier models at judging which research pitches deserve attention.
Numerical scores predict ICLR acceptance at 91% accuracy while review text reaches only 81%, because politeness makes rejected papers' reviews contain more positive than negative words.
A survey synthesizing LLM methods for peer review critique generation and score prediction, including taxonomies, benchmark limitations, domain biases, and robustness risks such as prompt injection.
The paper delivers a stage-by-stage roadmap for AI in research, showing reliable assistance in retrieval and tool tasks but fragility in novelty and judgment, advocating human-governed collaboration.
citing papers explorer
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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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LLMs learn scientific taste from institutional traces across the social sciences
Fine-tuned LLMs trained on social science publication records outperform experts and frontier models at judging which research pitches deserve attention.
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Decoupling Scores and Text: The Politeness Principle in Peer Review
Numerical scores predict ICLR acceptance at 91% accuracy while review text reaches only 81%, because politeness makes rejected papers' reviews contain more positive than negative words.
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LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges
A survey synthesizing LLM methods for peer review critique generation and score prediction, including taxonomies, benchmark limitations, domain biases, and robustness risks such as prompt injection.
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AI for Auto-Research: Roadmap & User Guide
The paper delivers a stage-by-stage roadmap for AI in research, showing reliable assistance in retrieval and tool tasks but fragility in novelty and judgment, advocating human-governed collaboration.