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Notes on multilingual continual learning

1 note

  1. Can Scale Save Us From Plasticity Loss in Large Language Models?

    Source note · Jun 23, 2026

    Researchers study plasticity loss in GPT-style transformer models trained on a multilingual continual learning problem. They find evidence of plasticity loss across different sizes of models and under stationary…

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