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Editing Models with Task Arithmetic

Editing Models with Task Arithmetic

8 December 2022
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
    KELM
    MoMe
    MU
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Papers citing "Editing Models with Task Arithmetic"

50 / 354 papers shown
Title
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints
Parameswaran Kamalaruban
Mark Anderson
Stuart Burrell
Maeve Madigan
Piotr Skalski
David Sutton
54
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
GNNMerge: Merging of GNN Models Without Accessing Training Data
GNNMerge: Merging of GNN Models Without Accessing Training Data
Vipul Garg
Ishita Thakre
Sayan Ranu
MoMe
82
0
0
05 Mar 2025
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
72
0
0
03 Mar 2025
Multi-Level Collaboration in Model Merging
Qi Li
Runpeng Yu
Xinchao Wang
MoMe
FedML
93
0
0
03 Mar 2025
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think
Jie Tian
Xiaoye Qu
Zhenyi Lu
Wei Wei
Sichen Liu
Yu-Xi Cheng
DiffM
VGen
44
0
0
02 Mar 2025
Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models
Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models
Huazheng Wang
Yongcheng Jing
Haifeng Sun
Yingjie Wang
J. Wang
Jianxin Liao
Dacheng Tao
KELM
MU
47
0
0
27 Feb 2025
On the Role of Individual Differences in Current Approaches to Computational Image Aesthetics
On the Role of Individual Differences in Current Approaches to Computational Image Aesthetics
Li-Wei Chen
Ombretta Strafforello
Anne-Sofie Maerten
Tinne Tuytelaars
Johan Wagemans
57
0
0
27 Feb 2025
CAMEx: Curvature-aware Merging of Experts
CAMEx: Curvature-aware Merging of Experts
Dung V. Nguyen
Minh H. Nguyen
Luc Q. Nguyen
R. Teo
T. Nguyen
Linh Duy Tran
MoMe
101
2
0
26 Feb 2025
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
Zongzhen Yang
Binhang Qi
Hailong Sun
Wenrui Long
Ruobing Zhao
Xiang Gao
MoMe
48
0
0
26 Feb 2025
Generative Modeling of Individual Behavior at Scale
Generative Modeling of Individual Behavior at Scale
Nabil Omi
Lucas Caccia
Anurag Sarkar
Jordan T. Ash
S. Sen
71
0
0
24 Feb 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Chenghao Fan
Zhenyi Lu
Sichen Liu
Xiaoye Qu
Wei Wei
Chengfeng Gu
Yu-Xi Cheng
MoE
147
0
0
24 Feb 2025
Low-rank bias, weight decay, and model merging in neural networks
Ilja Kuzborskij
Yasin Abbasi-Yadkori
47
0
0
24 Feb 2025
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge
Aladin Djuhera
Vlad-Costin Andrei
Mohsen Pourghasemian
Haris Gacanin
Holger Boche
Walid Saad
MoMe
113
0
0
24 Feb 2025
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation
Fanhu Zeng
Haiyang Guo
Fei Zhu
Li Shen
Hao Tang
MoMe
54
1
0
24 Feb 2025
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
Jiahui Geng
Qing Li
Herbert Woisetschlaeger
Zongxiong Chen
Yixuan Wang
Preslav Nakov
Hans-Arno Jacobsen
Fakhri Karray
MU
41
1
0
22 Feb 2025
A generative approach to LLM harmfulness detection with special red flag tokens
A generative approach to LLM harmfulness detection with special red flag tokens
Sophie Xhonneux
David Dobre
Mehrnaz Mohfakhami
Leo Schwinn
Gauthier Gidel
55
1
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
Yixuan Wang
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
49
0
0
21 Feb 2025
Robust Concept Erasure Using Task Vectors
Robust Concept Erasure Using Task Vectors
Minh Pham
Kelly O. Marshall
Chinmay Hegde
Niv Cohen
120
17
0
21 Feb 2025
Activation Steering in Neural Theorem Provers
Activation Steering in Neural Theorem Provers
Shashank Kirtania
LLMSV
163
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
Junzhe Zhang
MoMe
FedML
90
0
0
18 Feb 2025
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
Daiki Chijiwa
Taku Hasegawa
Kyosuke Nishida
Kuniko Saito
Susumu Takeuchi
47
0
0
18 Feb 2025
SuperMerge: An Approach For Gradient-Based Model Merging
SuperMerge: An Approach For Gradient-Based Model Merging
Haoyu Yang
Zheng Zhang
Saket Sathe
MoMe
127
0
0
17 Feb 2025
Linear Mode Connectivity in Differentiable Tree Ensembles
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh
M. Sugiyama
72
1
0
17 Feb 2025
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Biqing Zeng
Zehan Li
Aladdin Ayesh
CLL
KELM
38
0
0
16 Feb 2025
Superpose Singular Features for Model Merging
Superpose Singular Features for Model Merging
Haiquan Qiu
You Wu
Quanming Yao
MoMe
48
0
0
15 Feb 2025
LUNAR: LLM Unlearning via Neural Activation Redirection
LUNAR: LLM Unlearning via Neural Activation Redirection
William F. Shen
Xinchi Qiu
Meghdad Kurmanji
Alex Iacob
Lorenzo Sani
Yihong Chen
Nicola Cancedda
Nicholas D. Lane
MU
56
1
0
11 Feb 2025
Learning Task Representations from In-Context Learning
Learning Task Representations from In-Context Learning
Baturay Saglam
Zhuoran Yang
Dionysis Kalogerias
Amin Karbasi
57
0
0
08 Feb 2025
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
Pierre Ablin
Angelos Katharopoulos
Skyler Seto
David Grangier
MoMe
50
0
0
03 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
38
2
0
28 Jan 2025
Physics of Skill Learning
Physics of Skill Learning
Ziming Liu
Yizhou Liu
Eric J. Michaud
Jeff Gore
Max Tegmark
46
1
0
21 Jan 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
43
8
0
20 Jan 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement
Multi-Task Model Merging via Adaptive Weight Disentanglement
Feng Xiong
Runxi Cheng
Wang Chen
Zhanqiu Zhang
Yiwen Guo
Chun Yuan
Ruifeng Xu
MoMe
99
4
0
10 Jan 2025
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Yifei He
Yuzheng Hu
Yong Lin
Tong Zhang
Han Zhao
FedML
MoMe
65
18
0
08 Jan 2025
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion
InfiFusion: A Unified Framework for Enhanced Cross-Model Reasoning via LLM Fusion
Zhaoyi Yan
Zhijie Sang
Y. Zhang
Yuhao Fu
Baoyi He
Qi Zhou
Yining Di
Chunlin Ji
Shengyu Zhang
Fei Wu
MoMe
LRM
62
1
0
06 Jan 2025
Training-free Heterogeneous Model Merging
Zhengqi Xu
Han Zheng
Jie Song
Li Sun
Mingli Song
MoMe
70
1
0
03 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
85
4
0
31 Dec 2024
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
33
1
0
31 Dec 2024
Facilitating large language model Russian adaptation with Learned Embedding Propagation
Facilitating large language model Russian adaptation with Learned Embedding Propagation
Mikhail Tikhomirov
D. Chernyshev
38
1
0
31 Dec 2024
Parameter-Efficient Interventions for Enhanced Model Merging
Parameter-Efficient Interventions for Enhanced Model Merging
Marcin Osial
Daniel Marczak
Bartosz Zieliñski
MoMe
84
1
0
22 Dec 2024
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun
Ren Wang
Yihua Zhang
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Sijia Liu
Yan Yan
AAML
MU
93
0
0
21 Dec 2024
Non-Uniform Parameter-Wise Model Merging
Non-Uniform Parameter-Wise Model Merging
Albert Manuel Orozco Camacho
Stefan Horoi
Guy Wolf
Eugene Belilovsky
MoMe
FedML
87
0
0
20 Dec 2024
A LoRA is Worth a Thousand Pictures
A LoRA is Worth a Thousand Pictures
Chenxi Liu
Towaki Takikawa
Alec Jacobson
DiffM
OffRL
76
2
0
16 Dec 2024
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generation
Runtao Liu
Chen I Chieh
Jindong Gu
Jipeng Zhang
Renjie Pi
Qifeng Chen
Philip H. S. Torr
Ashkan Khakzar
Fabio Pizzati
EGVM
109
0
0
13 Dec 2024
How to Merge Your Multimodal Models Over Time?
How to Merge Your Multimodal Models Over Time?
Sebastian Dziadzio
Vishaal Udandarao
Karsten Roth
Ameya Prabhu
Zeynep Akata
Samuel Albanie
Matthias Bethge
MoMe
98
3
0
09 Dec 2024
Classifier-free guidance in LLMs Safety
Classifier-free guidance in LLMs Safety
Roman Smirnov
MU
75
1
0
08 Dec 2024
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free
  Fusion
Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion
Zhuokun Chen
Jinwu Hu
Zeshuai Deng
Yufeng Wang
Bohan Zhuang
Mingkui Tan
71
0
0
02 Dec 2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual
  Learning
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
Haiyang Guo
Fei Zhu
Fanhu Zeng
Bing Liu
Xu-Yao Zhang
MoMe
CLL
89
3
0
28 Nov 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Tao
I. Mason
Sanjeev R. Kulkarni
Xavier Boix
MoMe
FedML
84
3
0
27 Nov 2024
Neutralizing Backdoors through Information Conflicts for Large Language
  Models
Neutralizing Backdoors through Information Conflicts for Large Language Models
Chen Chen
Yuchen Sun
Xueluan Gong
Jiaxin Gao
K. Lam
KELM
AAML
72
0
0
27 Nov 2024
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