2026
DISCO: Diversifying Sample Condensation for Accelerating Model Evaluation
ICLR 2026poster
Evaluating modern machine learning models has become prohibitively expensive. Benchmarks such as LMMs-Eval and HELM demand thousands of GPU hours per model. Costly evaluation reduces inclusivity, slows the cycle of innovation, and worsens environmental impact. To address the growing cost of standard…