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Beyond Relevance-Centric Retrieval: Rubric-Oriented Document Set Selection and Ranking

27 upvotes · 22 JUL 2026 · Kailin Jiang, Lei Liu, Jian Xi et al.

This paper develops a new framework for evaluating and selecting document sets for AI agents, considering the interactions between documents, and proposes a training-free method that achieves the best downstream generation performance with fewer documents and search rounds.

continual learningdocument set selectionevaluation frameworksrubric-based evaluationranking methods