Improving Model Safety by Targeted Error Correction

arXiv:2605.02544v1 Announce Type: new Abstract: The widespread adoption of machine learning in critical applications demands techniques to mitigate high-consequence errors. Our method utilizes a dual-classifier GBDT pipeline to distinguish routine human-like errors from high-risk non-human...