ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.04089
  4. Cited By
Editing Models with Task Arithmetic
v1v2v3 (latest)

Editing Models with Task Arithmetic

International Conference on Learning Representations (ICLR), 2022
8 December 2022
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
    KELMMoMeMU
ArXiv (abs)PDFHTMLHuggingFace (7 upvotes)

Papers citing "Editing Models with Task Arithmetic"

50 / 525 papers shown
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
Mingwen Liu
Xiongwei Han
Xianrui Li
Hui-Ling Zhen
Tao Zhong
Mingxuan Yuan
MoMeLRM
429
37
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
460
3
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 LearningComputer Vision and Pattern Recognition (CVPR), 2025
Xuan Liu
Xiaobin Chang
CLL
1.1K
9
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
Praneet Adusumilli
Syed Zawad
Holger Boche
MoMe
285
16
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 VectorsComputer Vision and Pattern Recognition (CVPR), 2025
Changlong Shi
He Zhao
Bingjie Zhang
Mingyuan Zhou
Dandan Guo
Yi Chang
335
5
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 ApproachComputer Vision and Pattern Recognition (CVPR), 2025
Vaibhav Rathore
S. Bagchi
Saikat Dutta
Sarthak Mehrotra
Zsolt Kira
Biplab Banerjee
OOD
324
2
0
19 Mar 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
Hao Mark Chen
S. Hu
Wayne Luk
Timothy M. Hospedales
Hongxiang Fan
MoMe
456
3
0
16 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
332
8
0
13 Mar 2025
From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches
Wei Ruan
Tianze Yang
Yimiao Zhou
Tianming Liu
Jin Lu
MoMe
406
7
0
13 Mar 2025
We Should Chart an Atlas of All the World's Models
We Should Chart an Atlas of All the World's Models
Eliahu Horwitz
Nitzan Kurer
Jonathan Kahana
Liel Amar
Yedid Hoshen
332
0
0
13 Mar 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
558
1
0
12 Mar 2025
You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector
Bowen Tian
Zhengyang Xu
Mingqiang Wu
Bowen Tian
Yutai Yue
AAML
171
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
Rui Wang
Linghe Kong
Weiran Huang
CLLVLM
775
0
0
12 Mar 2025
Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation
Mingkang Zhu
Xi Chen
Liang Luo
Bei Yu
Hengshuang Zhao
Jiaya Jia
MoMe
270
0
0
11 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
374
12
0
11 Mar 2025
Task Vector Quantization for Memory-Efficient Model Merging
Task Vector Quantization for Memory-Efficient Model Merging
Youngeun Kim
Seunghwan Lee
Aecheon Jung
Bogon Ryu
Sungeun Hong
MQMoMe
254
3
0
10 Mar 2025
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound VideosInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Pramit Saha
Divyanshu Mishra
Netzahualcoyotl Hernandez-Cruz
Olga Patey
A. Papageorghiou
Yuki M. Asano
J. A. Noble
263
3
0
10 Mar 2025
Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
Chenyu Huang
Peng Ye
Xinyu Wang
Shenghe Zheng
Biqing Qi
Wenlong Zhang
Wanli Ouyang
Tao Chen
155
2
0
09 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
236
4
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
217
1
0
07 Mar 2025
LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach
Hetarth Chopra
Vidhi Rambhia
Vikram Adve
MoMe
378
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
536
0
0
05 Mar 2025
Multi-Level Collaboration in Model Merging
Qi Li
Runpeng Yu
Xinchao Wang
MoMeFedML
297
0
0
03 Mar 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
Med-LEGO: Editing and Adapting toward Generalist Medical Image DiagnosisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Yitao Zhu
Yuan Yin
Jiaming Li
Mengjie Xu
Zihao Zhao
Honglin Xiong
Sheng Wang
Qian Wang
MedIm
313
0
0
03 Mar 2025
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You ThinkComputer Vision and Pattern Recognition (CVPR), 2025
Jie Tian
Xiaoye Qu
Zhenyi Lu
Xiaoye Qu
Sichen Liu
Yu Cheng
DiffMVGen
209
9
0
02 Mar 2025
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
Huazheng Wang
Yongcheng Jing
Haifeng Sun
Yingjie Wang
Jingchao Wang
Jianxin Liao
Dacheng Tao
KELMMU
421
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
252
0
0
27 Feb 2025
CAMEx: Curvature-aware Merging of Experts
CAMEx: Curvature-aware Merging of ExpertsInternational Conference on Learning Representations (ICLR), 2025
Dung V. Nguyen
Minh H. Nguyen
Luc Q. Nguyen
R. Teo
T. Nguyen
Linh Duy Tran
MoMe
356
6
0
26 Feb 2025
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
Zongzhen Yang
Binhang Qi
Hailong Sun
Wenrui Long
Ruobing Zhao
Yantao Du
MoMe
277
4
0
26 Feb 2025
Low-rank bias, weight decay, and model merging in neural networks
Low-rank bias, weight decay, and model merging in neural networks
Ilja Kuzborskij
Yasin Abbasi-Yadkori
351
1
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
329
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
Amin Seffo
Mohsen Pourghasemian
Haris Gacanin
Holger Boche
Walid Saad
MoMe
458
1
0
24 Feb 2025
RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness
Fanhu Zeng
Haiyang Guo
Fei Zhu
Li Shen
Hao Tang
MoMe
613
5
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
Xiaoye Qu
Wei Wei
Yu Cheng
MoE
1.1K
9
0
24 Feb 2025
A Generative Approach to LLM Harmfulness Mitigation with Red Flag Tokens
A Generative Approach to LLM Harmfulness Mitigation with Red Flag Tokens
Sophie Xhonneux
David Dobre
Mehrnaz Mohfakhami
Leo Schwinn
Gauthier Gidel
627
0
0
22 Feb 2025
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
Fauzan Farooqui
Qing Li
Herbert Woisetschlaeger
Zongxiong Chen
Longji Xu
Preslav Nakov
Preslav Nakov
Hans-Arno Jacobsen
Fakhri Karray
MU
325
18
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
Longji Xu
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
304
1
0
21 Feb 2025
Steering LLMs for Formal Theorem Proving
Steering LLMs for Formal Theorem Proving
Shashank Kirtania
Arun Shankar Iyer
LLMSV
1.1K
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
449
25
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
346
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.N. Zhang
MoMeFedML
645
8
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
378
0
0
17 Feb 2025
Linear Mode Connectivity in Differentiable Tree Ensembles
Linear Mode Connectivity in Differentiable Tree EnsemblesInternational Conference on Learning Representations (ICLR), 2024
Ryuichi Kanoh
M. Sugiyama
398
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
CLLKELM
235
0
0
16 Feb 2025
Superpose Task-specific Features for Model Merging
Superpose Task-specific Features for Model Merging
Haiquan Qiu
You Wu
Dong Li
Jianmin Guo
Quanming Yao
MoMe
520
1
0
15 Feb 2025
LLM Unlearning via Neural Activation Redirection
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
359
13
0
11 Feb 2025
Learning Task Representations from In-Context Learning
Learning Task Representations from In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Baturay Saglam
Zhuoran Yang
Zhuoran Yang
Dionysis Kalogerias
Amin Karbasi
285
7
0
08 Feb 2025
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study
Martin Wimpff
Bruno Aristimunha
Sylvain Chevallier
Bin Yang
CLL
146
4
0
05 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
279
0
0
03 Feb 2025
Evolutionary Optimization of Model Merging Recipes
Evolutionary Optimization of Model Merging Recipes
Takuya Akiba
Makoto Shing
Yujin Tang
Qi Sun
David Ha
MoMe
650
175
0
28 Jan 2025
Previous
123456...91011
Next