PiKE adaptively re-weights pretraining data sources by gradient magnitude and variance, exploiting low gradient conflicts to speed up convergence and improve downstream accuracy in LLM pretraining.
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PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts
PiKE adaptively re-weights pretraining data sources by gradient magnitude and variance, exploiting low gradient conflicts to speed up convergence and improve downstream accuracy in LLM pretraining.