most citedEpistemic Diversity and Knowledge Collapse in Large Language Models

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cs.LG2026

Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG

Seungju Han, Konwoo Kim, Chanwoo Park +5

Synthetic data augmentation helps language models learn new knowledge in data-constrained domains. However, naively scaling existing synthetic data methods by training on more synt…