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DELLA-Merging: Reducing Interference in Model Merging through
  Magnitude-Based Sampling

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

17 June 2024
Pala Tej Deep
Rishabh Bhardwaj
Soujanya Poria
    MoMe
ArXivPDFHTML

Papers citing "DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling"

12 / 12 papers shown
Title
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
Dynamic Fisher-weighted Model Merging via Bayesian Optimization
Sanwoo Lee
Jiahao Liu
Qifan Wang
Jiadong Wang
Xunliang Cai
Yunfang Wu
MoMe
169
0
0
26 Apr 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging
Haoming Xu
Shuxun Wang
Yanqiu Zhao
Yi Zhong
Ziyan Jiang
Ningyuan Zhao
Shumin Deng
Hongyu Chen
N. Zhang
MoMe
MU
72
0
0
27 Mar 2025
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting
Linqi Yang
Xiongwei Zhao
Qihao Sun
Ke Wang
Ao Chen
Peng Kang
3DGS
83
0
0
07 Mar 2025
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach
Hetarth Chopra
Vidhi Rambhia
Vikram Adve
MoMe
70
0
0
05 Mar 2025
Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging
Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging
Zhixiang Wang
Zhenyu Mao
Yixuan Qiao
Yunfang Wu
Biye Li
MoMe
73
0
0
17 Feb 2025
ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation
ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation
Chenhui Deng
Yunsheng Bai
Haoxing Ren
39
1
0
31 Dec 2024
ATM: Improving Model Merging by Alternating Tuning and Merging
ATM: Improving Model Merging by Alternating Tuning and Merging
Luca Zhou
Daniele Solombrino
Donato Crisostomi
Maria Sofia Bucarelli
Fabrizio Silvestri
Emanuele Rodolà
MoMe
47
5
0
05 Nov 2024
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale
  Models
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
Qiaoyu Tang
Le Yu
Bowen Yu
Hongyu Lin
Keming Lu
Yunfan LU
Xianpei Han
Le Sun
MoMe
34
1
0
17 Oct 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
52
18
0
08 Jul 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
Lu Li
Tianze Zhang
Zhiqi Bu
Suyuchen Wang
Huan He
Jie Fu
Yonghui Wu
Jiang Bian
Yong Chen
Yoshua Bengio
FedML
MoMe
100
3
0
11 Jun 2024
DPPA: Pruning Method for Large Language Model to Model Merging
DPPA: Pruning Method for Large Language Model to Model Merging
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
35
4
0
05 Mar 2024
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
1