Chameleon uses kernel ridge leverage scores on domain embeddings to set LLM training-mixture weights, matching DoGE-level pretraining quality at roughly one fifth the compute and improving finetuning perplexity.
Sharp analysis of low-rank kernel matrix approximations
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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
Chameleon uses kernel ridge leverage scores on domain embeddings to set LLM training-mixture weights, matching DoGE-level pretraining quality at roughly one fifth the compute and improving finetuning perplexity.