EMNLP · 2024 · Conference paper

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models

Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan

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Published in
Conference on Empirical Methods in Natural Language Processing
Date
2024-07-24
Citations
28
arXiv
2407.17467
Cite
@inproceedings{gu2024scaling,
  title = {CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models},
  author = {Jiawei Gu and Zacc Yang and Chuanghao Ding and Rui Zhao and Fei Tan},
  year = {2024},
  booktitle = {Conference on Empirical Methods in Natural Language Processing},
  eprint = {2407.17467},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2407.17467},
}