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Sep 2026

Learning Without Forgetting for Continual Learning in LLMs Through Adaptive LoRA Ranks

A novel parameter-efficient approach for continual learning in LLMs is proposed, which adaptively adjusts layerwise LoRA ranks to help balance the stability–plasticity trade-off, and leverages a subspace similarity metric to evaluate the orthogonality between task-specific low-rank subspaces.

Fuli Qiao, Mehrdad Mahdavi · 0 citations

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