2026
ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
ICML 2026poster
Evaluating generative AI models is increasingly resource-intensive due to slow generation, expensive raters, and a rapidly growing landscape of models and benchmarks. We propose ProEval, a proactive evaluation framework that leverages transfer learning to efficiently estimate performance and identif…