Summary of Imitation Learning From Observations: An Autoregressive Mixture Of Experts Approach, by Renzi Wang et al.
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approachby Renzi Wang, Flavia Sofia Acerbo,…
Summary of Perft: Parameter-efficient Routed Fine-tuning For Mixture-of-expert Model, by Yilun Liu et al.
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Modelby Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding,…
Summary of Adaptive Conditional Expert Selection Network For Multi-domain Recommendation, by Kuiyao Dong et al.
Adaptive Conditional Expert Selection Network for Multi-domain Recommendationby Kuiyao Dong, Xingyu Lou, Feng Liu, Ruian…
Summary of Wdmoe: Wireless Distributed Mixture Of Experts For Large Language Models, by Nan Xue et al.
WDMoE: Wireless Distributed Mixture of Experts for Large Language Modelsby Nan Xue, Yaping Sun, Zhiyong…
Summary of Neko: Toward Post Recognition Generative Correction Large Language Models with Task-oriented Experts, by Yen-ting Lin et al.
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Expertsby Yen-Ting Lin, Chao-Han…
Summary of Fedmoe-da: Federated Mixture Of Experts Via Domain Aware Fine-grained Aggregation, by Ziwei Zhan et al.
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregationby Ziwei Zhan, Wenkuan Zhao, Yuanqing…
Summary of Hobbit: a Mixed Precision Expert Offloading System For Fast Moe Inference, by Peng Tang et al.
HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inferenceby Peng Tang, Jiacheng Liu,…
Summary of Libmoe: a Library For Comprehensive Benchmarking Mixture Of Experts in Large Language Models, by Nam V. Nguyen et al.
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Modelsby Nam V.…
Summary of Monta: Accelerating Mixture-of-experts Training with Network-traffc-aware Parallel Optimization, by Jingming Guo et al.
MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimizationby Jingming Guo, Yan Liu, Yu Meng, Zhiwei…
Summary of Efficient and Effective Weight-ensembling Mixture Of Experts For Multi-task Model Merging, by Li Shen et al.
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Mergingby Li Shen, Anke Tang,…