Evidence-Grounded Scientific Originality Evaluation System
Developed as part of a Ministry of Education of China project, this system evaluates the originality of scientific papers through document screening, parallel agent review, comparative evidence, and traceable final assessment.
- Data
- Collected and curated evaluation sets spanning papers from five universities, CNS and highly cited benchmarks, and expert-reviewed samples.
- Integration and evaluation
- Integrated the end-to-end evaluation pipeline and assessed the complete system through benchmark discrimination, bibliometric correlation, and expert-agreement analyses.
Research contributions
Additional collaborative publications
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Co-author · Data collection and curation OpenReview
EMNLP 2026 Main Conference · Accepted · 2026
How Far Are AI Scientists from Changing the World? A Survey of Autonomous Scientific Discovery
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Co-author · Data collection and curation OpenReview
EMNLP 2026 Main Conference · Accepted · 2026
AI Drafts, Humans Judge: Quantifying the Human-AI Responsibility Boundary in Peer Review