Author

Hui-Qing Xu

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#natural language process... Preprint Sep 2026

AdaTutoRank: Learning to Rerank Document Sets via Adaptive Tutoring Optimization for RAG and Deep Research

AdaTutoRank is proposed, a setwise reranker trained with Adaptive Tutoring Optimization under a three-level hierarchy of nine rubric dimensions, which supplies silver labels for the cold start, rewards for reinforcement learning, and hints for distillation.

Kai-Lin Jiang, Lei Liu, Jian-Fei Xi et al. · 0 citations

Jul 2026

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

Rubric4Setwise is proposed, a training-free method that converts rubric-based evaluation criteria into document set selection signals, achieving the best downstream generation performance with fewer documents and search rounds, validating the effectiveness of closing the loop from evaluation to optimization.

Kai-Lin Jiang, Lei Liu, Jian-Fei Xi et al. · arXiv.org · 3 citations