GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining

Neural Information Processing Systems 

The performance of large language models (LLMs) across diverse downstream applications is fundamentally governed by the quality and composition of their pretraining corpora.

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