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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
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
19
0
0
11 May 2025
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
Kunpeng Qiu
Zhiqiang Gao
Zhiying Zhou
Mingjie Sun
Yongxin Guo
MedIm
29
0
0
09 May 2025
WaterDrum: Watermarking for Data-centric Unlearning Metric
WaterDrum: Watermarking for Data-centric Unlearning Metric
Xinyang Lu
Xinyuan Niu
Gregory Kang Ruey Lau
Bui Thi Cam Nhung
Rachael Hwee Ling Sim
Fanyu Wen
Chuan-Sheng Foo
S. Ng
Bryan Kian Hsiang Low
MU
51
0
0
08 May 2025
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
Vaidehi Patil
Yi-Lin Sung
Peter Hase
Jie Peng
Tianlong Chen
Mohit Bansal
AAML
MU
79
3
0
01 May 2025
GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling
GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling
Siqi Li
Yufan Shen
Xiangnan Chen
Jiayi Chen
Hengwei Ju
...
Licheng Wen
Botian Shi
Y. Liu
Xinyu Cai
Yu Qiao
VLM
ELM
84
0
0
30 Apr 2025
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Ren-Wei Liang
Chin-Ting Hsu
Chan-Hung Yu
Saransh Agrawal
Shih-Cheng Huang
Shang-Tse Chen
Kuan-Hao Huang
Shao-Hua Sun
76
0
0
27 Apr 2025
Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging
Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging
Shi Jie Yu
Sehyun Choi
MoMe
45
0
0
23 Apr 2025
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
ParamΔΔΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Sheng Cao
Mingrui Wu
Karthik Prasad
Yuandong Tian
Zechun Liu
MoMe
74
0
0
23 Apr 2025
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data
Fei Zhu
Zhaoxiang Zhang
OODD
UQCV
55
0
0
20 Apr 2025
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee
Jinwook Jung
Sungyong Baik
MoMe
40
0
0
20 Apr 2025
DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging
DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging
Tianhui Song
Weixin Feng
Shuai Wang
X. Li
Tiezheng Ge
Bo Zheng
Limin Wang
MoMe
57
0
0
16 Apr 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
Rui Dai
Sile Hu
Xu Shen
Yonggang Zhang
Xinmei Tian
Jieping Ye
MoMe
42
2
0
15 Apr 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
Hongkang Li
Yihua Zhang
Shuai Zhang
M. Wang
Sijia Liu
Pin-Yu Chen
MoMe
55
2
0
15 Apr 2025
Alleviating the Fear of Losing Alignment in LLM Fine-tuning
Alleviating the Fear of Losing Alignment in LLM Fine-tuning
Kang Yang
Guanhong Tao
X. Chen
Jun Xu
31
0
0
13 Apr 2025
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation
Juzheng Zhang
Jiacheng You
Ashwinee Panda
Tom Goldstein
MoMe
49
0
0
10 Apr 2025
FedMerge: Federated Personalization via Model Merging
FedMerge: Federated Personalization via Model Merging
Shutong Chen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
MoMe
47
0
0
09 Apr 2025
SEA-LION: Southeast Asian Languages in One Network
SEA-LION: Southeast Asian Languages in One Network
Raymond Ng
Thanh Ngan Nguyen
Yuli Huang
Ngee Chia Tai
Wai Yi Leong
...
David Ong Tat-Wee
B. Liu
William-Chandra Tjhi
Erik Cambria
Leslie Teo
34
11
0
08 Apr 2025
Not All Data Are Unlearned Equally
Not All Data Are Unlearned Equally
Aravind Krishnan
Siva Reddy
Marius Mosbach
MU
53
0
0
07 Apr 2025
Exact Unlearning of Finetuning Data via Model Merging at Scale
Exact Unlearning of Finetuning Data via Model Merging at Scale
Kevin Kuo
Amrith Rajagopal Setlur
Kartik Srinivas
Aditi Raghunathan
Virginia Smith
MoMe
CLL
MU
45
0
0
06 Apr 2025
MASS: MoErging through Adaptive Subspace Selection
MASS: MoErging through Adaptive Subspace Selection
Donato Crisostomi
Alessandro Zirilli
Antonio Andrea Gargiulo
Maria Sofia Bucarelli
Simone Scardapane
Fabrizio Silvestri
Iacopo Masi
Emanuele Rodolà
MoMe
40
0
0
06 Apr 2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
KELM
MoMe
40
0
0
03 Apr 2025
BECAME: BayEsian Continual Learning with Adaptive Model MErging
BECAME: BayEsian Continual Learning with Adaptive Model MErging
Mei Li
Yuxiang Lu
Qinyan Dai
Suizhi Huang
Yue Ding
Hongtao Lu
CLL
MoMe
44
0
0
03 Apr 2025
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Francesco P. Ramunno
Paolo Massa
Vitaliy Kinakh
Brandon Panos
A. Csillaghy
S. Voloshynovskiy
DiffM
53
0
0
31 Mar 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
Yiyang Du
Xiaochen Wang
C. Chen
Jiabo Ye
Yiru Wang
...
J. Zhang
Fei Huang
Zhifang Sui
Maosong Sun
Y. Liu
MoMe
49
0
0
31 Mar 2025
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
Tianyang Xu
Xiaoze Liu
Feijie Wu
Xiaoqian Wang
Jing Gao
MU
54
0
0
29 Mar 2025
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
Chanhyuk Lee
Jiho Choi
Chanryeol Lee
Donggyun Kim
Seunghoon Hong
MoMe
48
0
0
28 Mar 2025
Reinforced Model Merging
Reinforced Model Merging
J. N. Han
Jingwen Ye
Shunyu Liu
Haofei Zhang
Jie Song
Zunlei Feng
Mingli Song
MoMe
55
0
0
27 Mar 2025
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Han Wu
Yuxuan Yao
Shuqi Liu
Zehua Liu
Xiaojin Fu
Xiongwei Han
X. Li
Hui-Ling Zhen
Tao Zhong
Mingxuan Yuan
MoMe
LRM
75
4
0
26 Mar 2025
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation
Junyi Zhu
Ruicong Yao
Taha Ceritli
Savas Ozkan
Matthew B. Blaschko
Eunchung Noh
Jeongwon Min
Cho Jung Min
Mete Ozay
FedML
96
0
0
26 Mar 2025
Efficient Model Development through Fine-tuning Transfer
Efficient Model Development through Fine-tuning Transfer
Pin-Jie Lin
Rishab Balasubramanian
Fengyuan Liu
Nikhil Kandpal
Tu Vu
57
0
0
25 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
75
0
0
23 Mar 2025
SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging
SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging
Aladin Djuhera
S. Kadhe
Farhan Ahmed
Syed Zawad
Holger Boche
MoMe
49
0
0
21 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
Changlong Shi
He Zhao
Bingjie Zhang
Mingyuan Zhou
Dandan Guo
Yi Chang
37
0
0
20 Mar 2025
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach
Vaibhav Rathore
S. Bagchi
Saikat Dutta
Sarthak Mehrotra
Zsolt Kira
Biplab Banerjee
OOD
74
1
0
19 Mar 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Chen
S. Hu
Wayne Luk
Timothy M. Hospedales
Hongxiang Fan
MoMe
67
0
0
16 Mar 2025
Charting and Navigating Hugging Face's Model Atlas
Eliahu Horwitz
Nitzan Kurer
Jonathan Kahana
Liel Amar
Yedid Hoshen
31
0
0
13 Mar 2025
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
Mari Ashiga
Wei Jie
Fan Wu
Vardan K. Voskanyan
Fateme Dinmohammadi
P. Brookes
Jingzhi Gong
Zheng Wang
38
0
0
13 Mar 2025
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches
Wei Ruan
Tianze Yang
Y. Zhou
Tianming Liu
Jin Lu
MoMe
88
0
0
13 Mar 2025
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
Chiara Cappellino
G. Mancusi
Matteo Mosconi
Angelo Porrello
Simone Calderara
Rita Cucchiara
ObjD
VLM
81
0
0
12 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Y. Li
Linghe Kong
Weiran Huang
CLL
VLM
76
0
0
12 Mar 2025
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
Runxi Cheng
Feng Xiong
Yongxian Wei
Wanyun Zhu
Chun Yuan
MoMe
57
0
0
11 Mar 2025
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
Mingkang Zhu
Xi Chen
Z. Wang
Bei Yu
Hengshuang Zhao
Jiaya Jia
MoMe
50
0
0
11 Mar 2025
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
Pramit Saha
Divyanshu Mishra
Netzahualcoyotl Hernandez-Cruz
Olga Patey
A. Papageorghiou
Yuki M. Asano
J. A. Noble
38
0
0
10 Mar 2025
Task Vector Quantization for Memory-Efficient Model Merging
Youngeun Kim
Seunghwan Lee
Aecheon Jung
Bogon Ryu
Sungeun Hong
MQ
MoMe
52
0
0
10 Mar 2025
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
C. Huang
Peng Ye
X. Wang
Shenghe Zheng
Biqing Qi
Lei Bai
Wanli Ouyang
Tao Chen
31
0
0
09 Mar 2025
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
Wei Junhao
Yu Zhe
Sakuma Jun
AAML
MoMe
49
0
0
08 Mar 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints
Parameswaran Kamalaruban
Mark Anderson
Stuart Burrell
Maeve Madigan
Piotr Skalski
David Sutton
47
0
0
07 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
80
0
0
05 Mar 2025
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach
Hetarth Chopra
Vidhi Rambhia
Vikram Adve
MoMe
60
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
65
0
0
03 Mar 2025
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