Explorative Modeling adds a ‘freedom’ axis to stop mode collapse
The paper proposes Explorative Modeling (XM), which generates K outputs per training comparison and updates on the closest one, preserving output diversity. By framing the third training axis as “freedom”, XM demonstrably boosts robustness—freedom‑selected models beat baselines in 29 of 30 distribution‑shift tests.