Energy-Structured Low-Rank Adaptation for Continual Learning

In three linesE²-LoRA, a low-rank adaptation method for continual learning, concentrates energy of parameter updates into principal ranks to minimize task interference. A dynamic rank allocation strategy balances model stability and plasticity.

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