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Model Merging and Fusion

MoMe
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Model merging and model fusion efficiently combines learned models into a single model.

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Title
Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
Jianyu Wang
Jacob Nean-Hua Sheikh
Cat P. Le
Hoda Bidkhori
CLLMoMeKELM
151
0
0
12 Dec 2025
qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
Shreya Shukla
Aditya Sriram
Milinda Kuppur Narayanaswamy
Hiteshi Jain
MoMe
70
0
0
12 Dec 2025
Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation
Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation
Kevin Glocker
Kätriin Kukk
Romina Oji
Marcel Bollmann
Marco Kuhlmann
Jenny Kunz
MoMeCLL
136
0
0
11 Dec 2025
System Report for CCL25-Eval Task 10: Prompt-Driven Large Language Model Merge for Fine-Grained Chinese Hate Speech Detection
System Report for CCL25-Eval Task 10: Prompt-Driven Large Language Model Merge for Fine-Grained Chinese Hate Speech Detection
Binglin Wu
Jiaxiu Zou
Xianneng Li
MoMe
133
0
0
10 Dec 2025
Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging
Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging
Yajat Yadav
Zhiyuan Zhou
Andrew Wagenmaker
Karl Pertsch
Sergey Levine
MoMe
91
0
0
09 Dec 2025
Mitigating Catastrophic Forgetting in Mathematical Reasoning Finetuning through Mixed Training
Mitigating Catastrophic Forgetting in Mathematical Reasoning Finetuning through Mixed Training
John Graham Reynolds
CLLMoMeAI4CELRM
105
0
0
05 Dec 2025
CoGraM: Context-sensitive granular optimization method with rollback for robust model fusion
CoGraM: Context-sensitive granular optimization method with rollback for robust model fusion
Julius Lenz
MoMe
148
0
0
03 Dec 2025
An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation
An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation
Daiki Shirafuji
Tatsuhiko Saito
Yasutomo Kimura
MoMeKELM
42
0
0
02 Dec 2025
Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
Haonan Wang
Chao Du
Kenji Kawaguchi
Tianyu Pang
MoMeReLMLRM
329
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
37
0
0
01 Dec 2025
Upcycled and Merged MoE Reward Model for Mitigating Reward Hacking
Lingling Fu
MoMe
44
0
0
30 Nov 2025
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
91
0
0
29 Nov 2025
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
Nan An
Weian Li
Qi Qi
Liang Zhang
MoMe
178
0
0
28 Nov 2025
Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
Shayne Longpre
Christopher Akiki
Campbell Lund
Atharva Kulkarni
Emily Chen
Irene Solaiman
Avijit Ghosh
Yacine Jernite
Lucie-Aimée Kaffee
MoMe
112
0
0
27 Nov 2025
A Systematic Study of Model Merging Techniques in Large Language Models
A Systematic Study of Model Merging Techniques in Large Language Models
Oğuz Kağan Hitit
Leander Girrbach
Zeynep Akata
MoMe
205
0
0
26 Nov 2025
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Taehoon Kim
Donghwan Jang
Bohyung Han
CLLMoMe
153
0
0
26 Nov 2025
MTA: A Merge-then-Adapt Framework for Personalized Large Language Model
MTA: A Merge-then-Adapt Framework for Personalized Large Language Model
Xiaopeng Li
Yuanjin Zheng
Wanyu Wang
Wenlin Zhang
Pengyue Jia
Yiqi Wang
Maolin Wang
Xuetao Wei
Xiangyu Zhao
MoMe
194
0
0
25 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
227
0
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
173
0
0
24 Nov 2025
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
Jinping Wang
Zhiqiang Gao
Dinggen Zhang
Zhiwu Xie
MoMe
196
0
0
22 Nov 2025
Curvature-Aware Safety Restoration In LLMs Fine-Tuning
Curvature-Aware Safety Restoration In LLMs Fine-Tuning
Thong Bach
Thanh Nguyen-Tang
D. Nguyen
T. Hoang Ngan Le
Truyen Tran
MoMe
68
0
0
22 Nov 2025
Task Addition and Weight Disentanglement in Closed-Vocabulary Models
Task Addition and Weight Disentanglement in Closed-Vocabulary Models
Adam Hazimeh
Alessandro Favero
Pascal Frossard
MoMe
253
4
0
18 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
48
0
0
17 Nov 2025
Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance
Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance
Shalini Maiti
Amar Budhiraja
Bhavul Gauri
Gaurav Chaurasia
Anton Protopopov
...
Michael Slater
Despoina Magka
Tatiana Shavrina
Roberta Raileanu
Yoram Bachrach
MoMe
78
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
238
0
0
17 Nov 2025
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
J. Wu
Jian Yang
Handing Wang
Jiajun Wen
Zhiyong Yu
MoMe
76
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
325
0
0
14 Nov 2025
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
Anzhe Cheng
Shukai Duan
Shixuan Li
Chenzhong Yin
Mingxi Cheng
...
Tamoghna Chattopadhyay
Sophia I Thomopoulos
Shahin Nazarian
Paul M. Thompson
Paul Bogdan
MoEMoMe
391
0
0
14 Nov 2025
NP-LoRA: Null Space Projection Unifies Subject and Style in LoRA Fusion
NP-LoRA: Null Space Projection Unifies Subject and Style in LoRA Fusion
Chuheng Chen
Xiaofei Zhou
Geyuan Zhang
Yong Huang
MoMe
142
0
0
14 Nov 2025
Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging
Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging
Qinfeng Li
Miao Pan
Jintao Chen
Fu Teng
Zhiqiang Shen
Ge Su
Hao Peng
Xuhong Zhang
MoMeAAML
353
0
0
13 Nov 2025
SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation
SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation
Berkcan Kapusuzoglu
Supriyo Chakraborty
Renkun Ni
Stephen Rawls
Sambit Sahu
MoMeCLL
194
0
0
11 Nov 2025
Unifying Model and Layer Fusion for Speech Foundation Models
Unifying Model and Layer Fusion for Speech Foundation Models
Yi-Jen Shih
David Harwath
MoMe
224
0
0
11 Nov 2025
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Zhongyang Li
Ziyue Li
Tianyi Zhou
MoEMoMe
527
0
0
10 Nov 2025
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
Seungeon Lee
Soumi Das
Manish Gupta
Krishna P. Gummadi
MoMe
456
1
0
10 Nov 2025
Steering Language Models with Weight Arithmetic
Steering Language Models with Weight Arithmetic
Constanza Fierro
Fabien Roger
MoMeLLMSV
385
0
0
07 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
243
0
0
07 Nov 2025
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
Y. Wang
Di Wu
Feng Liu
Zhimin Qiu
Chenrui Hu
MoMeOffRL
388
3
0
06 Nov 2025
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
Kentaro Ueda
François Portet
H. Suwa
Keiichi Yasumoto
CLLMoMe
340
0
0
04 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
220
0
0
31 Oct 2025
WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging
WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging
Min Hou
Xin Liu
Le Wu
Chenyi He
Hao Liu
Z. Li
Xin Li
Si Wei
MoMe
245
0
0
30 Oct 2025
Parameter Averaging in Link Prediction
Parameter Averaging in Link Prediction
Rupesh Sapkota
Caglar Demir
Arnab Sharma
A. Ngomo
MoMeFedML
232
0
0
29 Oct 2025
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
Xinyu Wang
Jonas M. Kübler
Kailash Budhathoki
Yida Wang
Matthäus Kleindessner
MoMe
124
0
0
27 Oct 2025
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
Hongkai Lin
Dingkang Liang
Mingyang Du
Xin Zhou
X. Bai
MoMeMDEVLM
411
0
0
27 Oct 2025
Model Merging with Functional Dual Anchors
Model Merging with Functional Dual Anchors
Kexuan Shi
Yandong Wen
Weiyang Liu
MoMe
223
0
0
24 Oct 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Bowen Wang
Haiyuan Wan
Liwen Shi
Chen Yang
Peng He
...
Tiao Tan
Yongjian Li
Fangming Liu
Yifan Gong
Sheng Zhang
CLLMoMeKELM
171
0
0
23 Oct 2025
Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
Prashant Kodali
Vaishnavi Shivkumar
Swarang Joshi
Monojit Choudhary
Ponnurangam Kumaraguru
Manish Shrivastava
MoMeCLL
268
0
0
22 Oct 2025
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
Tiancheng Hu
Benjamin Minixhofer
Nigel Collier
MoMe
446
1
0
20 Oct 2025
MIN-Merging: Merge the Important Neurons for Model Merging
MIN-Merging: Merge the Important Neurons for Model Merging
Yunfei Liang
MoMe
461
0
0
18 Oct 2025
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Naeem Paeedeh
Mahardhika Pratama
Weiping Ding
Jimmy Cao
Wolfgang Mayer
Ryszard Kowalczyk
CLLMoMe
136
0
0
17 Oct 2025
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
Dung V. Nguyen
Anh T. Nguyen
Minh H. Nguyen
Luc Q. Nguyen
Shiqi Jiang
Ethan Fetaya
Linh Duy Tran
Gal Chechik
T. Nguyen
MoMe
132
0
0
17 Oct 2025
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