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Jia-Hao Ai

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#artificial intelligence Preprint Oct 2026

Beyond Scalar Leaderboards: Adaptive Sampling for Pareto Frontier Identification in Multi-Objective LLM Arenas

Vector-Borda Empirical-Gap Elimination (VB-EGE) is presented, a fixed-confidence adaptive sampling algorithm for efficiently identifying models on the Pareto frontier in arena-style evaluation and established a worst-case lower bound showing that VB-EGE is minimax-optimal up to logarithmic factors.

Liang Twist Shan, Jia-Hao Ai, Zhi-Mei Ren · 0 citations

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