LiME achieves expert specialization in MoE-PEFT via lightweight output modulation on a shared PEFT module plus zero-parameter routing, delivering competitive performance with up to 4x fewer trainable parameters and 29% faster training on the MMT-47 multimodal multi-task benchmark.
n}there existsR e ∈R d×d such that for allx∈Supp(X|I n =e), A(n−1) rn−1(x)x=R e A(n) e x
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LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning
LiME achieves expert specialization in MoE-PEFT via lightweight output modulation on a shared PEFT module plus zero-parameter routing, delivering competitive performance with up to 4x fewer trainable parameters and 29% faster training on the MMT-47 multimodal multi-task benchmark.