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Hong-Fu Gao

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#machine learning Preprint Sep 2026

Anytime-Valid LLM Leaderboards via Benchmark-weighted and Block-Factorized e-Processes

BB-EDGE (Benchmark-Weighted and Block-Factorized e-processes for Directed Graph Evaluation), a principled framework that represents an LLM leaderboard as a directed graph whose edges certify pairwise mean-performance advantages, with anytime-valid family-wise error rate (FWER) control, is proposed.

Hong-Fu Gao, Song-Xin Zhang, Ze-Jian Xie et al. · 0 citations

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