RankBALD Introduces Ranking-Oriented Active Evaluation
hugo_larochelle · x · 2026-07-09
RankBALD: Ranking-Aligned Active Evaluation for Language Models has been accepted by COLM 2026. The paper points out that as performance gaps between large models narrow, static benchmarks require significantly higher costs to achieve stable rankings. While existing adaptive evaluations mostly optimize for capability estimation, RankBALD directly optimizes model ranking by selecting test items that are most discriminating for adjacent model rankings and appropriately matched in difficulty.
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