AI Research
ProLand: A New Infeasible Manifold Optimization Method for LoRA Fine-Tuning
ProLand targets redundant basis directions in parameter-efficient model tuning
Low-rank adaptation (LoRA) enables parameter-efficient fine-tuning but can suffer from redundant basis directions.
AC
ArXiv CS.LG
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ArXiv CS.LG
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LoRA can reduce fine-tuning costs, but redundant basis directions may limit its effectiveness. ProLand presents an optimization approach aimed at addressing that issue in LoRA fine-tuning.
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