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Composing Parameter-Efficient Modules with Arithmetic Operations
v1v2 (latest)

Composing Parameter-Efficient Modules with Arithmetic Operations

26 June 2023
Jinghan Zhang
Shiqi Chen
Junteng Liu
Junxian He
    KELMMoMe
ArXiv (abs)PDFHTML

Papers citing "Composing Parameter-Efficient Modules with Arithmetic Operations"

36 / 36 papers shown
Title
Learning-Time Encoding Shapes Unlearning in LLMs
Learning-Time Encoding Shapes Unlearning in LLMs
Ruihan Wu
Konstantin Garov
Kamalika Chaudhuri
MU
27
0
0
18 Jun 2025
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
Yibo Yang
Sihao Liu
Chuan Rao
Bang An
Tiancheng Shen
Philip Torr
Ming-Hsuan Yang
Bernard Ghanem
29
0
0
16 Jun 2025
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
Yuwen Tan
Boqing Gong
MU
46
0
0
12 Jun 2025
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA
Divyansh Jhunjhunwala
Arian Raje
Madan Ravi Ganesh
Chaithanya Kumar Mummadi
Chaoqun Dong
Jiawei Zhou
Wan-Yi Lin
Gauri Joshi
Zhenzhen Li
50
0
0
01 Jun 2025
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
Wenju Sun
Qingyong Li
Wen Wang
Yang Liu
Yangli-ao Geng
Boyang Li
MoMe
53
0
0
29 May 2025
Improved Representation Steering for Language Models
Improved Representation Steering for Language Models
Zhengxuan Wu
Qinan Yu
Aryaman Arora
Christopher D. Manning
Christopher Potts
LLMSV
76
0
0
27 May 2025
Why Do More Experts Fail? A Theoretical Analysis of Model Merging
Why Do More Experts Fail? A Theoretical Analysis of Model Merging
Zijing Wang
Xingle Xu
Yongkang Liu
Yiqun Zhang
Peiqin Lin
Shi Feng
Xiaocui Yang
Daling Wang
Hinrich Schütze
MoMe
62
0
0
27 May 2025
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun
Qingyong Li
Yangli-ao Geng
Boyang Li
MoMe
119
2
0
11 May 2025
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino
Gianluca Mancusi
Matteo Mosconi
Angelo Porrello
Simone Calderara
Rita Cucchiara
ObjDVLM
182
0
0
12 Mar 2025
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
Wei Junhao
Yu Zhe
Sakuma Jun
AAMLMoMe
66
0
0
08 Mar 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
Yitao Zhu
Yuan Yin
Jiaming Li
Mengjie Xu
Zihao Zhao
Honglin Xiong
Sheng Wang
Qian Wang
MedIm
127
0
0
03 Mar 2025
MedForge: Building Medical Foundation Models Like Open Source Software Development
MedForge: Building Medical Foundation Models Like Open Source Software Development
Zheling Tan
Kexin Ding
Jin Gao
Mu Zhou
Dimitris N. Metaxas
Shaoting Zhang
Dequan Wang
AI4CE
124
2
0
22 Feb 2025
MoMa: A Modular Deep Learning Framework for Material Property Prediction
MoMa: A Modular Deep Learning Framework for Material Property Prediction
Botian Wang
Y. Ouyang
Yaohui Li
Yansen Wang
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
98
0
0
21 Feb 2025
Scalable Model Merging with Progressive Layer-wise Distillation
Scalable Model Merging with Progressive Layer-wise Distillation
Jing Xu
Jiazheng Li
J.N. Zhang
MoMeFedML
327
2
0
18 Feb 2025
Superpose Singular Features for Model Merging
Superpose Singular Features for Model Merging
Haiquan Qiu
You Wu
Quanming Yao
MoMe
173
0
0
15 Feb 2025
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
Junjie Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
129
4
0
09 Feb 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
Boyang Li
192
5
0
28 Jan 2025
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
Zhen Sun
Tianshuo Cong
Yule Liu
Chenhao Lin
Xinlei He
Rongmao Chen
Xingshuo Han
Xinyi Huang
AAML
174
6
0
26 Nov 2024
IterIS: Iterative Inference-Solving Alignment for LoRA Merging
IterIS: Iterative Inference-Solving Alignment for LoRA Merging
Hongxu Chen
Runshi Li
Bowei Zhu
Zhen Wang
Long Chen
MoMe
183
2
0
21 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedMLMoMeCLL
113
4
0
23 Oct 2024
CLEAR: Character Unlearning in Textual and Visual Modalities
CLEAR: Character Unlearning in Textual and Visual Modalities
Alexey Dontsov
Dmitrii Korzh
Alexey Zhavoronkin
Boris Mikheev
Denis Bobkov
Aibek Alanov
Oleg Y. Rogov
Ivan Oseledets
Elena Tutubalina
MUAILawVLM
193
5
0
23 Oct 2024
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang
Anke Tang
Didi Zhu
Zhengyu Chen
Li Shen
Leilei Gan
MoMeAAML
166
7
0
17 Oct 2024
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar
Benjamin Muller
Pritish Yuvraj
Rui Hou
Nayan Singhal
Hongjiang Lv
Bing-Quan Liu
KELMLRMMoMe
150
5
0
02 Oct 2024
FuseChat: Knowledge Fusion of Chat Models
FuseChat: Knowledge Fusion of Chat Models
Fanqi Wan
Longguang Zhong
Ziyi Yang
Ruijun Chen
Xiaojun Quan
ALMKELMMoMe
91
29
0
15 Aug 2024
Short-Long Policy Evaluation with Novel Actions
Short-Long Policy Evaluation with Novel Actions
Hyunji Alex Nam
Yash Chandak
Emma Brunskill
OffRL
74
0
0
04 Jul 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
110
4
0
21 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective
  Unlearning in LLMs
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
S. Kadhe
Farhan Ahmed
Dennis Wei
Nathalie Baracaldo
Inkit Padhi
MoMeMU
90
8
0
17 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
116
14
0
07 Jun 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang
Kuan Tian
Yonghang Guan
Jun Zhang
Zhiwei Jiang
Fei Shen
Xiao Han
127
6
0
27 May 2024
SecureLLM: Using Compositionality to Build Provably Secure Language
  Models for Private, Sensitive, and Secret Data
SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data
Abdulrahman Alabdulakreem
Christian M Arnold
Yerim Lee
Pieter M Feenstra
Boris Katz
Andrei Barbu
69
4
0
16 May 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM
  Unlearning
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
Jinghan Jia
Yihua Zhang
Yimeng Zhang
Jiancheng Liu
Bharat Runwal
James Diffenderfer
B. Kailkhura
Sijia Liu
MU
194
50
0
28 Apr 2024
Eight Methods to Evaluate Robust Unlearning in LLMs
Eight Methods to Evaluate Robust Unlearning in LLMs
Aengus Lynch
Phillip Guo
Aidan Ewart
Stephen Casper
Dylan Hadfield-Menell
ELMMU
129
82
0
26 Feb 2024
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from
  a Parametric Perspective
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
Ming Zhong
Chenxin An
Weizhu Chen
Jiawei Han
Pengcheng He
101
12
0
17 Oct 2023
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Parameter Efficient Multi-task Model Fusion with Partial Linearization
Anke Tang
Li Shen
Yong Luo
Yibing Zhan
Han Hu
Bo Du
Yixin Chen
Dacheng Tao
MoMe
124
36
0
07 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
114
177
0
29 Sep 2023
Separate the Wheat from the Chaff: Model Deficiency Unlearning via
  Parameter-Efficient Module Operation
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Xinshuo Hu
Dongfang Li
Baotian Hu
Zihao Zheng
Zhenyu Liu
Hao Fei
KELMMU
96
30
0
16 Aug 2023
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