Contextual memorization, defined by comparing a string's training loss against the best loss without training on that string, is stricter than counterfactual memorization and suggests that zero-memorization optimal learning is infeasible.
Emergent and predictable memorization in large language models
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Rethinking Memorization Measures and their Implications in Large Language Models
Contextual memorization, defined by comparing a string's training loss against the best loss without training on that string, is stricter than counterfactual memorization and suggests that zero-memorization optimal learning is infeasible.