Adaptive Mixture of Experts Gate (AMG) [R]

[Project] Post-hoc Adaptive MoE Gating on Qwen3.6-35B — empirical benchmarking of an open research gap Adaptive MoE routing — selecting a variable number of experts per token based on routing confidence — has been studied in papers (XMoE 2024, DynMoE ICLR 2025, TopP routing Huang et al. 2024). All successful implementations train from scratch. Nobody has published empirical results for post-hoc application to a pretrained fixed-k model at