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Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
11 March 2025
Runxi Cheng
Feng Xiong
Yongxian Wei
Wanyun Zhu
Chun Yuan
MoMe
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Papers citing
"Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors"
8 / 8 papers shown
MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent
Yuxia Fu
Zhizhen Zhang
Y. Zhang
Zijian Wang
Zi-Rui Huang
Yadan Luo
MoMe
381
4
0
24 Nov 2025
Model Merging with Functional Dual Anchors
Kexuan Shi
Yandong Wen
Weiyang Liu
MoMe
319
2
0
24 Oct 2025
Purifying Task Vectors in Knowledge-Aware Subspace for Model Merging
Bang An
Yibo Yang
Philip Torr
Bernard Ghanem
MoMe
194
1
0
16 Oct 2025
Towards Efficient Multimodal Unified Reasoning Model via Model Merging
Qixiang Yin
Huanjin Yao
Jianghao Chen
Jiaxing Huang
Z. Zhao
Fei Su
LRM
MoMe
344
1
0
10 Oct 2025
Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
Dengming Zhang
Xiaowen Ma
Zhenliang Ni
Zhenkai Wu
Han Shu
Xin Jiang
Xinghao Chen
MoMe
186
3
0
30 Sep 2025
Null-Space Filtering for Data-Free Continual Model Merging: Preserving Stability, Promoting Plasticity
Zihuan Qiu
Lei Wang
Yang Cao
Runtong Zhang
Bing Su
Yi Xu
Fanman Meng
Linfeng XU
Qingbo Wu
Hongliang Li
MoMe
CLL
156
0
0
25 Sep 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement
Feng Xiong
Runxi Cheng
Wang Chen
Zhanqiu Zhang
Yiwen Guo
Chun Yuan
Ruifeng Xu
MoMe
670
13
0
10 Jan 2025
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Yann Dubois
Balázs Galambosi
Abigail Z. Jacobs
Tatsunori Hashimoto
ALM
516
689
0
06 Apr 2024
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