Ongoing
Model evaluation and diagnostics
Evaluation practices that make model comparisons clearer, more honest, and more useful than a single headline metric.
About this work
This work focuses on comparison workflows, error analysis, and diagnostics that reveal why a model improved or regressed—not only whether one aggregate score moved.
Focus areas
- Diagnostics
- Error analysis
- Model comparison
This page will grow with links to code, results, papers, and presentations as they become ready to share.