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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)Github

Papers citing "Editing Models with Task Arithmetic"

50 / 526 papers shown
Learning without training: The implicit dynamics of in-context learning
Learning without training: The implicit dynamics of in-context learning
Benoit Dherin
Michael Munn
Hanna Mazzawi
Michael Wunder
J. Gonzalvo
ReLMOffRLLRM
781
26
0
24 Dec 2025
EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion
EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion
Pengfei Cao
Zeao Ji
Daojian Zeng
Jun Zhao
Kang Liu
KELM
423
0
0
04 Dec 2025
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
Junghwan Park
Woojin Cho
J. Heo
Darongsae Kwon
Kookjin Lee
121
0
0
02 Dec 2025
Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging
Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging
Kuangpu Guo
Yuhe Ding
Jian Liang
Zilei Wang
Ran He
MoMe
150
0
0
01 Dec 2025
From Coefficients to Directions: Rethinking Model Merging with Directional Alignment
From Coefficients to Directions: Rethinking Model Merging with Directional Alignment
Zhikang Chen
Sen Cui
Deheng Ye
Min Zhang
Gang Niu
Yu Zhang
Masashi Sugiyama
Tingting Zhu
MoMe
233
0
0
29 Nov 2025
A Systematic Study of In-the-Wild Model Merging for Large Language Models
A Systematic Study of In-the-Wild Model Merging for Large Language Models
Oğuz Kağan Hitit
Leander Girrbach
Zeynep Akata
MoMe
377
3
0
26 Nov 2025
Mortgage Language Model: Domain-Adaptive Pretraining with Residual Instruction, Alignment Tuning, and Task-Specific Routing
Mortgage Language Model: Domain-Adaptive Pretraining with Residual Instruction, Alignment Tuning, and Task-Specific Routing
Manish Jain
Satheesh Kumar Ponnambalam
Salman Faroz
Chandrakanth Lns
Vinay Sharma
ALM
716
0
0
26 Nov 2025
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning
Zhen Zeng
Leijiang Gu
Zhangling Duan
Feng-Qiang Li
Zenglin Shi
Cees G. M. Snoek
Meng Wang
KELMMUCLL
317
1
0
25 Nov 2025
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic
Mostafa Mozafari
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
193
0
0
24 Nov 2025
Understanding and Mitigating Over-refusal for Large Language Models via Safety Representation
Understanding and Mitigating Over-refusal for Large Language Models via Safety Representation
Junbo Zhang
Ran Chen
Qianli Zhou
Xinyang Deng
Wen Jiang
227
3
0
24 Nov 2025
MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent
MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent
Yuxia Fu
Zhizhen Zhang
Y. Zhang
Zijian Wang
Zi-Rui Huang
Yadan Luo
MoMe
404
4
0
24 Nov 2025
Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
Z. Pan
Zhikang Chen
Ding Li
Min Zhang
Sen Cui
...
Yi Yang
Deheng Ye
Yu Zhang
T. Zhu
Tianling Ren
MoMeCLLFedML
375
0
0
24 Nov 2025
A Novel Hierarchical Integration Method for Efficient Model Merging in Medical LLMs
A Novel Hierarchical Integration Method for Efficient Model Merging in Medical LLMs
Prakrit Timilsina
Anuj Nepal
Rajan Kadel
Robin Doss
MoMe
138
0
0
17 Nov 2025
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
Doanh C. Bui
Ba-Hung Ngo
H. Pham
Khang Phuoc-Quy Nguyen
Maï K. Nguyen
Y. Nakashima
CLLMoMeVLM
366
0
0
17 Nov 2025
Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
Shizhou Xu
Yuan Ni
Stefan Broecker
Thomas Strohmer
MU
504
0
0
14 Nov 2025
Defending Unauthorized Model Merging via Dual-Stage Weight Protection
Defending Unauthorized Model Merging via Dual-Stage Weight Protection
Wei-Jia Chen
Min-Yen Tsai
Cheng-Yi Lee
Chia-Mu Yu
MoMeAAML
450
0
0
14 Nov 2025
RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation
RadHiera: Semantic Hierarchical Reinforcement Learning for Medical Report Generation
Bodong Du
Honglong Yang
Xiaomeng Li
MedImVLM
276
15
0
13 Nov 2025
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective
Justin Lee
Zheda Mai
Jinsu Yoo
Chongyu Fan
Cheng Zhang
Wei-Lun Chao
DiffMVLM
273
2
0
11 Nov 2025
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations
Amit Levi
Raz Lapid
Rom Himelstein
Yaniv Nemcovsky
Ravid Shwartz Ziv
A. Mendelson
MQ
198
2
0
09 Nov 2025
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
DRAGON: Guard LLM Unlearning in Context via Negative Detection and ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Y. Wang
Chris Yuhao Liu
Quan Liu
Jinglong Pang
Wei Wei
Yujia Bao
Yang Liu
MU
416
2
0
08 Nov 2025
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
Davide Marincione
Donato Crisostomi
Roberto Dessi
Emanuele Rodolà
Emanuele Rossi
MoMeAI4CEVLM
386
1
0
07 Nov 2025
Steering Language Models with Weight Arithmetic
Steering Language Models with Weight Arithmetic
Constanza Fierro
Fabien Roger
MoMeLLMSV
611
4
0
07 Nov 2025
Shared Parameter Subspaces and Cross-Task Linearity in Emergently Misaligned Behavior
Shared Parameter Subspaces and Cross-Task Linearity in Emergently Misaligned Behavior
Daniel Aarao Reis Arturi
Eric Zhang
Andrew Ansah
Kevin Zhu
Ashwinee Panda
Aishwarya Balwani
136
2
0
03 Nov 2025
T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
T3: Test-Time Model Merging in VLMs for Zero-Shot Medical Imaging Analysis
Raza Imam
Hu Wang
Dwarikanath Mahapatra
Mohammad Yaqub
MoMe
327
0
0
31 Oct 2025
PLAN: Proactive Low-Rank Allocation for Continual Learning
PLAN: Proactive Low-Rank Allocation for Continual Learning
Xiequn Wang
Zhan Zhuang
Yu Zhang
CLLVLM
210
2
0
24 Oct 2025
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Yuxin Pan
Zhiguang Cao
Chengyang Gu
Liu Liu
Peilin Zhao
Yize Chen
Fangzhen Lin
220
0
0
24 Oct 2025
Model Merging with Functional Dual Anchors
Model Merging with Functional Dual Anchors
Kexuan Shi
Yandong Wen
Weiyang Liu
MoMe
321
2
0
24 Oct 2025
Continual Knowledge Adaptation for Reinforcement Learning
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu
Zihao Lian
Z. Wen
Chenghao Li
Guohao Chen
Xutao Wen
Bin Xiao
Mingkui Tan
CLLKELM
243
3
0
22 Oct 2025
Reasoning Distillation and Structural Alignment for Improved Code Generation
Reasoning Distillation and Structural Alignment for Improved Code Generation
Amir Jalilifard
Anderson de Rezende Rocha
Marcos Medeiros Raimundo
OffRLLRM
164
0
0
20 Oct 2025
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
Vaibhav Rathore
Divyam Gupta
Biplab Banerjee
164
2
0
20 Oct 2025
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
Bingqi Shang
Yiwei Chen
Yihua Zhang
Bingquan Shen
Sijia Liu
MUKELMAAML
279
1
0
19 Oct 2025
MIN-Merging: Merge the Important Neurons for Model Merging
MIN-Merging: Merge the Important Neurons for Model Merging
Yunfei Liang
MoMe
605
0
0
18 Oct 2025
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
Yijie Hu
Zihao Zhou
Kaizhu Huang
Xiaowei Huang
Qiufeng Wang
LRM
158
3
0
16 Oct 2025
Directional Reasoning Injection for Fine-Tuning MLLMs
Directional Reasoning Injection for Fine-Tuning MLLMs
Chao Huang
Zeliang Zhang
Jiang Liu
Ximeng Sun
Jialian Wu
X. Yu
Ze Wang
Chenliang Xu
Emad Barsoum
Zicheng Liu
MoMeLRM
296
3
0
16 Oct 2025
Purifying Task Vectors in Knowledge-Aware Subspace for Model Merging
Purifying Task Vectors in Knowledge-Aware Subspace for Model Merging
Bang An
Yibo Yang
Philip Torr
Bernard Ghanem
MoMe
203
1
0
16 Oct 2025
Backdoor Unlearning by Linear Task Decomposition
Backdoor Unlearning by Linear Task Decomposition
Amel Abdelraheem
Alessandro Favero
Gérôme Bovet
Pascal Frossard
AAMLMU
273
0
0
16 Oct 2025
Weight Weaving: Parameter Pooling for Data-Free Model Merging
Weight Weaving: Parameter Pooling for Data-Free Model Merging
Levy G. Chaves
Eduardo Valle
Sandra Avila
MoMe
287
1
0
15 Oct 2025
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression
Mike Lasby
Ivan Lazarevich
Nish Sinnadurai
Sean Lie
Yani Andrew Ioannou
Vithursan Thangarasa
163
7
0
15 Oct 2025
Towards Reversible Model Merging For Low-rank Weights
Towards Reversible Model Merging For Low-rank Weights
Mohammadsajad Alipour
Mohammad Mohammadi Amiri
MoMe
184
0
0
15 Oct 2025
Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity
Towards Robust Knowledge Removal in Federated Learning with High Data Heterogeneity
Riccardo Santi
Riccardo Salami
Simone Calderara
MU
193
0
0
15 Oct 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
218
1
0
14 Oct 2025
Exploring and Leveraging Class Vectors for Classifier Editing
Exploring and Leveraging Class Vectors for Classifier Editing
Jaeik Kim
Jaeyoung Do
VLM
223
0
0
13 Oct 2025
Towards Efficient Multimodal Unified Reasoning Model via Model Merging
Towards Efficient Multimodal Unified Reasoning Model via Model Merging
Qixiang Yin
Huanjin Yao
Jianghao Chen
Jiaxing Huang
Z. Zhao
Fei Su
LRMMoMe
361
1
0
10 Oct 2025
Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning
Sicong Huang
Qianqi Yan
Shengze Wang
Ian Lane
HILM
201
0
0
10 Oct 2025
Transmuting prompts into weights
Transmuting prompts into weights
Hanna Mazzawi
Benoit Dherin
Michael Munn
Michael Wunder
Javier Gonzalvo
LM&Ro
255
0
0
09 Oct 2025
Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
Stanisław Pawlak
Jan Dubiñski
Daniel Marczak
Bartłomiej Twardowski
AAMLMoMe
270
0
0
09 Oct 2025
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
Yunbo Li
Jiaping Gui
Zhihang Deng
Fanchao Meng
Yue Wu
FedML
407
12
0
09 Oct 2025
Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
Jan Fiszer
Dominika Ciupek
Maciej Malawski
FedML
290
3
0
08 Oct 2025
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
Xinye Cao
Hongcan Guo
Jiawen Qian
Guoshun Nan
Chao Wang
Yuqi Pan
Tianhao Hou
X. Wang
Yutong Gao
VGen
198
1
0
07 Oct 2025
Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
Filippo Rinaldi
Aniello Panariello
Giacomo Salici
Fengyuan Liu
Marco Ciccone
Angelo Porrello
Simone Calderara
227
1
0
07 Oct 2025
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