DecayBench: A Reference-Free Benchmark for Trustworthy Drift Detection
Distribution drift can substantially degrade the performance of deployed machine learning models; for example, accuracy on SST-2 can fall from 88% to 58%. Detecting such degradation is fundamentally challenging because deployment provides inputs but not labels, so the detection itself must be reference-free. We introdu...