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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 / 350 papers shown
Title
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
65
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
42
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
47
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
68
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
Low-rank bias, weight decay, and model merging in neural networks
Ilja Kuzborskij
Yasin Abbasi-Yadkori
47
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
47
1
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
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
52
0
0
24 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
45
1
0
22 Feb 2025
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
Jiahui Geng
Qing Li
Herbert Woisetschlaeger
Zongxiong Chen
Y. Wang
Preslav Nakov
Hans-Arno Jacobsen
Fakhri Karray
MU
41
1
0
22 Feb 2025
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
Shojiro Yamabe
Tsubasa Takahashi
Futa Waseda
Koki Wataoka
MoMe
78
1
0
21 Feb 2025
Activation Steering in Neural Theorem Provers
Activation Steering in Neural Theorem Provers
Shashank Kirtania
LLMSV
67
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
110
16
0
21 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
Y. Wang
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
41
0
0
21 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
39
0
0
18 Feb 2025
Scalable Model Merging with Progressive Layer-wise Distillation
Scalable Model Merging with Progressive Layer-wise Distillation
Jing Xu
Jiazheng Li
J. Zhang
MoMe
FedML
85
0
0
18 Feb 2025
Linear Mode Connectivity in Differentiable Tree Ensembles
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh
M. Sugiyama
60
1
0
17 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
123
0
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
36
0
0
16 Feb 2025
Superpose Singular Features for Model Merging
Superpose Singular Features for Model Merging
Haiquan Qiu
You Wu
Quanming Yao
MoMe
38
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
49
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
50
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
45
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
36
1
0
28 Jan 2025
Physics of Skill Learning
Physics of Skill Learning
Ziming Liu
Yizhou Liu
Eric J. Michaud
Jeff Gore
Max Tegmark
41
0
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
39
7
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
89
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
56
17
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
55
1
0
06 Jan 2025
Training-free Heterogeneous Model Merging
Zhengqi Xu
Han Zheng
Jie Song
Li Sun
Mingli Song
MoMe
68
1
0
03 Jan 2025
Facilitating large language model Russian adaptation with Learned Embedding Propagation
Facilitating large language model Russian adaptation with Learned Embedding Propagation
Mikhail Tikhomirov
D. Chernyshev
25
1
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
26
0
0
31 Dec 2024
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
75
4
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
82
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
90
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
73
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
70
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
99
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
91
2
0
09 Dec 2024
Classifier-free guidance in LLMs Safety
Classifier-free guidance in LLMs Safety
Roman Smirnov
MU
59
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
69
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
68
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
77
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
67
0
0
27 Nov 2024
A gentle push funziona benissimo: making instructed models in Italian
  via contrastive activation steering
A gentle push funziona benissimo: making instructed models in Italian via contrastive activation steering
Daniel Scalena
Elisabetta Fersini
Malvina Nissim
LLMSV
65
0
0
27 Nov 2024
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
72
3
0
26 Nov 2024
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
85
8
0
26 Nov 2024
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