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Specialists Learn Faster: Knowledge Organization in Pre-training Shapes Knowledge Update Efficiency

Zhao, Sheng et al.
arXiv (All) · Papers
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machine-learning
An ideal (language) model must continually update its knowledge. Existing work largely focuses on making these updates efficient after training. We investigate how the organization of time-varying knowledge during pre-training shapes the efficiency of subsequent updates. Models trained on chronologi
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