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Nanjing University
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Agents can now evolve their behavior without altering their core model, achieving over 10% performance gains while retaining learned skills.
Continual learning just got a turbo boost: C-Flat Turbo cuts training time by up to 25% without sacrificing accuracy, thanks to a clever gradient-skipping trick.
