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Arxiv
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ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
- ElaLoRA is an adaptive low-rank adaptation framework for efficient model fine-tuning.
- It dynamically prunes and expands ranks based on gradient-derived importance scores.
- ElaLoRA outperforms existing PEFT methods across different parameter budgets in experiments.
- It offers a scalable and efficient fine-tuning solution, especially for resource-constrained environments.
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