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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)

Papers citing "Editing Models with Task Arithmetic"

50 / 524 papers shown
Title
How does the optimizer implicitly bias the model merging loss landscape?
How does the optimizer implicitly bias the model merging loss landscape?
Chenxiang Zhang
Alexander Theus
Damien Teney
Antonio Orvieto
Jun Pang
S. Mauw
MoMe
178
1
0
06 Oct 2025
Learning to Interpret Weight Differences in Language Models
Learning to Interpret Weight Differences in Language Models
Avichal Goel
Yoon Kim
Nir Shavit
T. T. Wang
175
1
0
06 Oct 2025
MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
Chenlu Ding
Jiancan Wu
Leheng Sheng
Fan Zhang
Yancheng Yuan
Xiang Wang
Xiangnan He
MUKELM
235
0
0
05 Oct 2025
Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
Dengming Zhang
Xiaowen Ma
Zhenliang Ni
Zhenkai Wu
Han Shu
Xin Jiang
Xinghao Chen
MoMe
144
2
0
30 Sep 2025
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
Xin Xu
Xunzhi He
Churan Zhi
Ruizhe Chen
Julian McAuley
Zexue He
90
0
0
30 Sep 2025
Real-Aware Residual Model Merging for Deepfake Detection
Real-Aware Residual Model Merging for Deepfake Detection
Jinhee Park
Guisik Kim
Choongsang Cho
Junseok Kwon
MoMe
136
0
0
29 Sep 2025
Understanding the Dilemma of Unlearning for Large Language Models
Understanding the Dilemma of Unlearning for Large Language Models
Qingjie Zhang
Haoting Qian
Zhicong Huang
Cheng Hong
Shiyu Huang
Ke Xu
Chao Zhang
Han Qiu
MU
232
1
0
29 Sep 2025
Model Merging Scaling Laws in Large Language Models
Model Merging Scaling Laws in Large Language Models
Yuanyi Wang
Yanggan Gu
Yiming Zhang
Qi Zhou
Zhaoyi Yan
C. Xie
X. Wang
Jianbo Yuan
Hongxia Yang
MoMe
302
1
0
29 Sep 2025
TDHook: A Lightweight Framework for Interpretability
TDHook: A Lightweight Framework for Interpretability
Yoann Poupart
AI4CE
108
0
0
29 Sep 2025
Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs
Stable Forgetting: Bounded Parameter-Efficient Unlearning in LLMs
Arpit Garg
Hemanth Saratchandran
Ravi Garg
Simon Lucey
MUCLL
113
1
0
29 Sep 2025
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
Yoonah Park
Haesung Pyun
Yohan Jo
KELM
323
0
0
28 Sep 2025
Merge Now, Regret Later: The Hidden Cost of Model Merging is Adversarial Transferability
Merge Now, Regret Later: The Hidden Cost of Model Merging is Adversarial Transferability
Ankit Gangwal
Aaryan Ajay Sharma
AAMLMoMe
169
1
0
28 Sep 2025
Toward a Holistic Approach to Continual Model Merging
Toward a Holistic Approach to Continual Model Merging
Hoang Phan
Sungmin Cha
Tung Lam Tran
Qi Lei
MoMeCLL
182
1
0
28 Sep 2025
Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT
Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT
Wonhyuk Lee
Youngchol Kim
Yunjin Park
Junhyung Moon
Dongyoung Jeong
Wanjin Park
124
0
0
27 Sep 2025
Dual-Space Smoothness for Robust and Balanced LLM Unlearning
Dual-Space Smoothness for Robust and Balanced LLM Unlearning
Han Yan
Zheyuan Liu
Meng Jiang
MUAAML
108
0
0
27 Sep 2025
Temporal Generalization: A Reality Check
Temporal Generalization: A Reality Check
Divyam Madaan
S. Chopra
Kyunghyun Cho
OODAI4TS
116
0
0
27 Sep 2025
The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging
The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging
Xiaochong Lan
Yu Zheng
Shiteng Cao
Yong Li
MoMeLRM
203
0
0
26 Sep 2025
Context Parametrization with Compositional Adapters
Context Parametrization with Compositional Adapters
Josip Jukić
Martin Tutek
Jan Snajder
116
0
0
26 Sep 2025
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
Zihuan Qiu
Yi Xu
Fanman Meng
Runtong Zhang
Linfeng XU
Qingbo Wu
Hongliang Li
CLLVLM
137
0
0
26 Sep 2025
SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
J. Lin
Zhongruo Wang
Kun Qian
Tian Wang
Arvind Srinivasan
...
Weiqi Zhang
Sujay Sanghavi
C. L. P. Chen
Hyokun Yun
Lihong Li
CLL
326
1
0
25 Sep 2025
Null-Space Filtering for Data-Free Continual Model Merging: Preserving Transparency, Promoting Fidelity
Null-Space Filtering for Data-Free Continual Model Merging: Preserving Transparency, Promoting Fidelity
Zihuan Qiu
Lei Wang
Yang Cao
Runtong Zhang
Bing Su
Yi Xu
Fanman Meng
Linfeng XU
Qingbo Wu
Hongliang Li
117
0
0
25 Sep 2025
Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference
Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference
Ziyi Han
Xutong Liu
Ruiting Zhou
Xiangxiang Dai
J. C. Lui
MoMeMoE
137
0
0
24 Sep 2025
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions
Xixun Lin
Yucheng Ning
Jingwen Zhang
Yan Dong
Y. Liu
...
Bin Wang
Yanan Cao
Kai-xiang Chen
Songlin Hu
Li Guo
LLMAGLRM
298
4
0
23 Sep 2025
SEQR: Secure and Efficient QR-based LoRA Routing
SEQR: Secure and Efficient QR-based LoRA Routing
William Fleshman
Benjamin Van Durme
156
0
0
22 Sep 2025
Accurate and Efficient Low-Rank Model Merging in Core Space
Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello
Daniel Marczak
Simone Magistri
Angelo Porrello
Bartłomiej Twardowski
Andrew D. Bagdanov
Simone Calderara
Joost van de Weijer
MoMe
244
2
0
22 Sep 2025
Variational Task Vector Composition
Variational Task Vector Composition
Boyuan Zhang
Yingjun Du
Xiantong Zhen
Ling Shao
MoMeCoGe
174
0
0
21 Sep 2025
Local Mechanisms of Compositional Generalization in Conditional Diffusion
Local Mechanisms of Compositional Generalization in Conditional Diffusion
Arwen Bradley
DiffMCoGe
221
1
0
19 Sep 2025
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
Eric Nuertey Coleman
Luigi Quarantiello
Samrat Mukherjee
J. Hurtado
Vincenzo Lomonaco
CLLMoMe
300
1
0
16 Sep 2025
Programmable Cognitive Bias in Social Agents
Programmable Cognitive Bias in Social Agents
Xuan Liu
HaoYang Shang
Haojian Jin
158
1
0
16 Sep 2025
Harnessing Optimization Dynamics for Curvature-Informed Model Merging
Harnessing Optimization Dynamics for Curvature-Informed Model Merging
Pouria Mahdavinia
Hamed Mahdavi
Niloofar Mireshghallah
M. Mahdavi
MoMe
167
1
0
14 Sep 2025
Continually Adding New Languages to Multilingual Language Models
Continually Adding New Languages to Multilingual Language Models
A. Owodunni
Sachin Kumar
CLLKELMMoMe
177
2
0
14 Sep 2025
Delta Activations: A Representation for Finetuned Large Language Models
Delta Activations: A Representation for Finetuned Large Language Models
Zhiqiu Xu
Amish Sethi
Mayur Naik
Ser-Nam Lim
138
0
0
04 Sep 2025
Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs
Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs
Naman D. Singh
Maximilian Müller
Francesco Croce
Matthias Hein
MUKELMCLL
187
4
0
02 Sep 2025
Surrogate Benchmarks for Model Merging Optimization
Surrogate Benchmarks for Model Merging Optimization
Rio Akizuki
Yuya Kudo
Nozomu Yoshinari
Yoichi Hirose
Toshiyuki Nishimoto
Kento Uchida
Shinichi Shirakawa
MoMe
137
0
0
02 Sep 2025
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
Mohammad Zbeeb
Hasan Hammoud
Bernard Ghanem
LRM
168
1
0
01 Sep 2025
Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing
Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing
Zihao Wang
Enneng Yang
L. Yin
Shiwei Liu
Li Shen
FedMLMoMe
152
0
0
01 Sep 2025
Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning
Yejin Kim
Eunwon Kim
Buru Chang
Junsuk Choe
MU
115
1
0
29 Aug 2025
Rethinking Layer-wise Model Merging through Chain of Merges
Rethinking Layer-wise Model Merging through Chain of Merges
Pietro Buzzega
Riccardo Salami
Angelo Porrello
Simone Calderara
MoMeAI4CE
183
0
0
29 Aug 2025
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution
Chen Chen
Yuchen Sun
Jiaxin Gao
Xueluan Gong
Qian-Wei Wang
Ziyao Wang
Yongsen Zheng
K. Lam
AAMLKELM
140
0
0
28 Aug 2025
PSO-Merging: Merging Models Based on Particle Swarm Optimization
PSO-Merging: Merging Models Based on Particle Swarm Optimization
Kehao Zhang
Shaolei Zhang
Yang Feng
MoMe
111
0
0
27 Aug 2025
UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
Yimu Wang
Weiming Zhuang
Chen Chen
Jiabo Huang
Jingtao Li
Lingjuan Lyu
FedML
104
1
0
27 Aug 2025
AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
Henri Savigny
Bruno Yun
LLMAG
70
0
0
25 Aug 2025
Modular Embedding Recomposition for Incremental Learning
Modular Embedding Recomposition for Incremental Learning
Aniello Panariello
Emanuele Frascaroli
Pietro Buzzega
Lorenzo Bonicelli
Angelo Porrello
Simone Calderara
VLM
171
2
0
22 Aug 2025
On Task Vectors and Gradients
On Task Vectors and Gradients
Luca Zhou
Daniele Solombrino
Donato Crisostomi
Maria Sofia Bucarelli
Giuseppe Alessio D’Inverno
Fabrizio Silvestri
Emanuele Rodolà
MoMe
389
1
0
22 Aug 2025
Think in Blocks: Adaptive Reasoning from Direct Response to Deep Reasoning
Think in Blocks: Adaptive Reasoning from Direct Response to Deep Reasoning
Yekun Zhu
Guang Chen
Chengjun Mao
OffRLLRMAI4CE
65
0
0
21 Aug 2025
Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation
Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation
Pinci Yang
Peisong Wen
Ke Ma
Qianqian Xu
CLLTTA
250
0
0
18 Aug 2025
Cost-Aware Contrastive Routing for LLMs
Cost-Aware Contrastive Routing for LLMs
Reza Shirkavand
Shangqian Gao
Qi He
Heng-Chiao Huang
287
1
0
17 Aug 2025
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Rethinking Safety in LLM Fine-tuning: An Optimization Perspective
Minseon Kim
Jin Myung Kwak
Lama Alssum
Bernard Ghanem
Juil Sock
David M. Krueger
Fazl Barez
Adel Bibi
127
2
0
17 Aug 2025
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
Yanwu Yang
Guinan Su
Jiesi Hu
Francesco Sammarco
Jonas Geiping
Thomas Wolfers
MedImVLM
110
2
0
14 Aug 2025
VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
Lingjie Jiang
Shaohan Huang
Xun Wu
Yixia Li
Dongdong Zhang
Furu Wei
MLLMVLM
159
3
0
13 Aug 2025
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