Surprise-driven continual learning absorbs planted lies about known facts
A model's own prior separates known-fact lies at AUC 0.78–0.83 but not legitimate updates, at AUC 0.53.
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A model's own prior separates known-fact lies at AUC 0.78–0.83 but not legitimate updates, at AUC 0.53.
A 20-dimensional content subspace beats LEACE by a mean 17.1 points on held-out CounterFact retrieval across eight architectures.
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