Gradient-based sensitivity scoring automatically allocates LoRA-MoE expert budget across parameter blocks; the module-separated variant matches or slightly beats prior methods with fewer trainable parameters.
Brain-inspired fast-and slow-update prompt tuning for few-shot class- incremental learning,
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A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning
Gradient-based sensitivity scoring automatically allocates LoRA-MoE expert budget across parameter blocks; the module-separated variant matches or slightly beats prior methods with fewer trainable parameters.