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cs.AR2026
SPIMOE: Exploiting Hybrid Sparsity for Reasoning MoE Inference on Heterogeneous PIM Architectures
Rubing Yang, Cenlin Duan, Yingjie Qi +3
Long-reasoning Mixture-of-Experts (MoE) models expose two coupled inference bottlenecks: growing KV caches shift the critical path toward attention, while sparse expert activation…
cs.LG2026
AngelSlim: A more accessible, comprehensive, and efficient toolkit for large model compression
Rui Cen, QiangQiang Hu, Hong Huang +10
This technical report introduces AngelSlim, a comprehensive and versatile toolkit for large model compression developed by the Tencent Hunyuan team. By consolidating cutting-edge a…