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Arxiv
1d
120
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MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
- MTL-LoRA is a new approach for multi-task learning (MTL) scenarios.
- It enhances the performance of LoRA, a popular method for domain adaptation.
- MTL-LoRA incorporates additional task-adaptive parameters to capture task-specific information while maintaining low-dimensional spaces.
- Experimental results show that MTL-LoRA outperforms LoRA and its variants in multi-task learning settings.
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