AI RESEARCH
IntelliAsk: Learning to Ask High-Quality Research Questions via RLVR
arXiv CS.AI
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ArXi:2602.15849v2 Announce Type: replace-cross Peer review relies on substantive, evidence-based questions, yet current LLMs generate surface-level queries that perform worse than human reviewer questions in expert evaluation. To address this gap, we curate a high-quality dataset of reviewer questions from OpenReview and conduct a human preference study where expert annotators evaluate question-paper pairs across three dimensions: effort, evidence, and grounding.