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Roman Boehringer

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#machine learning Preprint Sep 2026

MICRO: Multi-Fidelity Active Search for Severe Error Discovery

Human feedback can vary in cost and informativeness. Strong feedback can reveal severe errors but is costly, so cheaper quality ratings can help decide which items to annotate. We propose MICRO (Multi-Fidelity Impact Clustered Rollout), an active search framework that allocates a shared budget to these feedback types t...

Orlando Leone, Niclas Pokel, P. Moure et al. · 0 citations

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