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Curiosity in AI isn't static; it evolves based on experience, reshaping how agents prioritize questions and explore knowledge landscapes.
Existing class unlearning methods often just suppress the classifier head, but DAMP actually removes the forgotten knowledge from internal representations by surgically editing network weights.
