Yun Sing Koh

Why they're in the Luvo100

Koh’s work addresses a practical source of AI failure: continuing to rely on models or experience that no longer match current conditions. SELeCT combines probabilistic relevance estimates with explicit reuse of earlier concepts, supported by comparative experiments and a public implementation. The contribution is an evaluated approach to adaptation, not a general claim that deployed AI has become safe.