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Efficient and Effective Weight-Ensembling Mixture of Experts for
  Multi-Task Model Merging

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging

29 October 2024
Li Shen
A. Tang
Enneng Yang
G. Guo
Yong Luo
Lefei Zhang
Xiaochun Cao
Bo Du
Dacheng Tao
    MoMe
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Papers citing "Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging"

3 / 3 papers shown
Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
71
1
0
10 Mar 2025
Task Singular Vectors: Reducing Task Interference in Model Merging
Task Singular Vectors: Reducing Task Interference in Model Merging
Antonio Andrea Gargiulo
Donato Crisostomi
Maria Sofia Bucarelli
Simone Scardapane
Fabrizio Silvestri
Emanuele Rodolà
MoMe
83
8
0
26 Nov 2024
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task
  Learning with Deep Representation Surgery
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery
Enneng Yang
Li Shen
Zhenyi Wang
G. Guo
Xingwei Wang
Xiaocun Cao
Jie Zhang
Dacheng Tao
MoMe
24
4
0
18 Oct 2024
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