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Arxiv
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Boosting Large Language Models with Mask Fine-Tuning
- A new language model fine-tuning paradigm called Mask Fine-Tuning (MFT) has been introduced.
- MFT breaks the integrity of the model to improve its performance.
- Extensive experiments show consistent performance boosts across various domains and backbones.
- MFT extends the functionality of mask learning for model compression to a more general scope.
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