Jinyuan Feng

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning

In parameter-efficient fine-tuning, mixture-of-experts (MoE), which involves specializing functionalities into different experts and sparsely activating them appropriately, has been widely adopted as a promising approach to trade-off between model capacity and computation overhead. However, current