@article{ziyan2026,
title = {PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition},
author = {Gan, Ziyan and Liu, Fangxin and Guan, Chenyang and Wang, Junjie and Yang, Ning and Li, Haomin and Li, Xiang and Yang, Siran and Wang, Jiamang and Qu, Lin and Wang, Zongwu and Jiang, Li and Guan, Haibing},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
}
Gan, Ziyan et al. (2026). PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.
Gan, Ziyan, et al.. "PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026.
Gan, Ziyan, et al.. "PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026).
Gan, Ziyan et al., 2026. PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.
TY - JOUR
TI - PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition
AU - Gan, Ziyan
AU - Liu, Fangxin
AU - Guan, Chenyang
AU - Wang, Junjie
AU - Yang, Ning
AU - Li, Haomin
AU - Li, Xiang
AU - Yang, Siran
AU - Wang, Jiamang
AU - Qu, Lin
AU - Wang, Zongwu
AU - Jiang, Li
AU - Guan, Haibing
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
ER -