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cs.LG2026
Beyond Token Eviction: Mixed-Dimension Budget Allocation for Efficient KV Cache Compression
Ruijie Miao, Zhiming Wang, Wang Li +4
Key-value (KV) caching is widely used to accelerate transformer inference, but its memory cost grows linearly with input length, limiting long-context deployment. Existing token ev…
cs.LG2025
MergeMoE: Efficient Compression of MoE Models via Expert Output Merging
Ruijie Miao, Yilun Yao, Zihan Wang +5
The Mixture-of-Experts (MoE) technique has proven to be a promising solution to efficiently scale the model size, which has been widely applied in recent LLM advancements. However,…