BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

A new benchmark for evaluating how well machine learning models predict molecular properties on out-of-distribution data, which could improve robustness in drug discovery and materials science.

Auto-scored: This is a technical benchmark paper with no direct risk or mitigation implications for AI risk.