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cs.CL2025
Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
Ziqing Fan, Yuqiao Xian, Yan Sun +1
A fine-grained data recipe is crucial for pre-training large language models, as it can significantly enhance training efficiency and model performance. One important ingredient in…
cs.CL2025
Mining Useful General Data for Low-Resource Domain Adaptation
Pingjie Wang, Hongcheng Liu, Yusheng Liao +5
Adapting large language models (LLMs) to low-resource domains remains challenging due to the scarcity of domain-specific data. While in-domain data is limited, there exists a vast…