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Exact Risk Certificates for Pairwise-Judged Reranking
Xinyu Wang, Jingrui Tian, Sicheng Lyu, Yu Gu, Ziyang Song, Xiao-Wen Chang, Lei Ding

Exact Risk Certificates for Pairwise-Judged Reranking

Published 2026 Verification Pending

Overview & Synopsis

Pairwise relevance judgments constrain both the loss numerator and the ideal-ranking denominator of nDCG. We characterize the exact worst-case loss of replacing a ranking with a fixed proposal. Binary gains attain this loss and provide an inspectable witness. Threshold verification reduces to at most $K+1$ maximum-closure problems. Our exposure-flow ablation isolates denominator coupling: on shared judge trajectories, exact verification saves 2.34 comparisons per TREC-DL development query and 1.98 per confirmation query at a budget of 32. Savings transfer to BEIR and a second proposer. Predictive gates achieve higher deployment gains, while certificates expose the worst gains still permitted by accepted comparisons.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Exact Risk Certificates for Pairwise-Judged Reranking
Author / Organization Xinyu Wang, Jingrui Tian, Sicheng Lyu, Yu Gu, Ziyang Song, Xiao-Wen Chang, Lei Ding
Subject & Discipline cs.LG
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-277740
Original Source Link Visit Source Page on arxiv.org »