Papers with scientific feedback mechanisms

    1 papers
    Generative Reviewer Agents: Scalable Simulacra of Peer Review (2025.emnlp-industry)

    Copied to clipboard

    Challenge: Existing peer review mechanisms are limited by the small fraction of researchers with established networks.
    Approach: They propose a system that extends a large language model and equips agents with reviewer personas derived from historical data to enable generative reviewers.
    Outcome: The proposed architecture performs comparable to human reviewers in providing detailed feedback and predicting paper outcomes.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations