When Model Merging Breaks Routing: Training-Free Calibration for MoE

Canbin Huang, Tianyuan Shi, Xiaojun Quan +3

Model merging has emerged as a cost-effective approach for consolidating the capabilities of multiple LLMs without retraining. However, existing merging techniques, largely based o…