Papers by Tejash Prasad

    1 papers
    ReviewEval: An Evaluation Framework for AI-Generated Reviews (2025.findings-emnlp)

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    Challenge: escalating volume of academic research necessitates innovative approaches to peer review . authors propose reviewEval, ReviewAgent and ReviewEval to improve on existing reviews .
    Approach: They propose a framework for AI-generated reviews that measures alignment with human assessments . they propose 'reviewAgent' that iteratively optimizes its intermediate outputs and external improvement loops .
    Outcome: The proposed framework improves actionable insights and analytical depth by 6.78% and 47.62% over baselines and expert reviews.

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