MERIT: Matching Expertise via Rubric-Informed Training for Reviewer Assignment 事件

MERIT: Matching Expertise via Rubric-Informed Training for Reviewer Assignment arXiv:2605.27865v1 Announce Type: new Abstract: Matching submissions with suitable reviewers at scale is a growing challenge for major venues, yet existing approaches either rely on coarse proxy signals that conflate general relatedness with true suitability, or require expensive human annotations that are difficult to scale for training. We propose MERIT, a two-stage framework that bridges this gap by converting cri