Assistant Professor, University of Minnesota
1 paper at NeurIPS 2025
Quantile-Guided Alignment (QA) is a framework for multi-dimensional quantile alignment that reduces catastrophic risks in language models by imposing constraints on reward quantiles across multiple performance dimensions.
