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cs.CL2025
Learning from the Best, Differently: A Diversity-Driven Rethinking on Data Selection
Hongyi He, Xiao Liu, Zhenghao Lin +6
High-quality pre-training data is crutial for large language models, where quality captures factual reliability and semantic value, and diversity ensures broad coverage and distrib…
cs.LG2025
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
Kailai Yang, Xiao Liu, Lei Ji +6
Continual pre-training on small-scale task-specific data is an effective method for improving large language models in new target fields, yet it risks catastrophic forgetting of th…