MoEZip: Routing-Aware KV Cache Compression for Sparse Mixture-of-Experts LLMs.

arXiv:2610.30206v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) language models scale model capacity efficiently by activating a small subset of parameters per token. However, in long-context inference, memory remains a major bottleneck because the