Dataless Knowledge Fusion by Merging Weights of Language Models

19 December 2022

Xisen Jin

Xiang Ren

Daniel Preotiuc-Pietro

Papers citing "Dataless Knowledge Fusion by Merging Weights of Language Models"

50 / 58 papers shown

Title
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging Wenju Sun Qingyong Li Yangli-ao Geng Boyang Li MoMe 34 0 0 11 May 2025
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration HamidReza Imani Jiaxin Peng Peiman Mohseni Abdolah Amirany Tarek A. El-Ghazawi MoE 28 0 0 10 May 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization Sanwoo Lee Jiahao Liu Qifan Wang J. Wang Xunliang Cai Yunfang Wu MoMe 143 0 0 26 Apr 2025
Param $Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost Sheng Cao Mingrui Wu Karthik Prasad Yuandong Tian Zechun Liu MoMe 80 0 0 23 Apr 2025
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 69 2 0 15 Apr 2025
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 76 1 0 19 Mar 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 76 0 0 19 Mar 2025
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 162 0 0 12 Mar 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 136 0 0 07 Mar 2025
GNNMerge: Merging of GNN Models Without Accessing Training Data Vipul Garg Ishita Thakre Sayan Ranu MoMe 82 0 0 05 Mar 2025
CAMEx: Curvature-aware Merging of Experts Dung V. Nguyen Minh H. Nguyen Luc Q. Nguyen R. Teo T. Nguyen Linh Duy Tran MoMe 90 2 0 26 Feb 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint Qianli Ma Dongrui Liu Qian Chen Linfeng Zhang Jing Shao MoMe 139 0 0 24 Feb 2025
Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation Yue Zhou Yi-Ju Chang Yuan Wu MoMe 60 2 0 24 Feb 2025
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation Fanhu Zeng Haiyang Guo Fei Zhu Li Shen Hao Tang MoMe 54 1 0 24 Feb 2025
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models Shuqi Liu Han Wu Bowei He Xiongwei Han M. Yuan Linqi Song MoMe 58 1 0 20 Feb 2025
Forget the Data and Fine-Tuning! Just Fold the Network to Compress Dong Wang Haris Šikić Lothar Thiele O. Saukh 53 0 0 17 Feb 2025
Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging Zhixiang Wang Zhenyu Mao Yixuan Qiao Yunfang Wu Biye Li MoMe 73 0 0 17 Feb 2025
SuperMerge: An Approach For Gradient-Based Model Merging Haoyu Yang Zheng Zhang Saket Sathe MoMe 125 0 0 17 Feb 2025
Superpose Singular Features for Model Merging Haiquan Qiu You Wu Quanming Yao MoMe 45 0 0 15 Feb 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Yuhang Zhou Giannis Karamanolakis Victor Soto Anna Rumshisky Mayank Kulkarni Furong Huang Wei Ai Jianhua Lu MoMe 106 0 0 03 Feb 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng Boyang Li 36 2 0 28 Jan 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement Feng Xiong Runxi Cheng Wang Chen Zhanqiu Zhang Yiwen Guo Chun Yuan Ruifeng Xu MoMe 99 4 0 10 Jan 2025
Training-free Heterogeneous Model Merging Zhengqi Xu Han Zheng Jie Song Li Sun Mingli Song MoMe 70 1 0 03 Jan 2025
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 87 8 0 26 Nov 2024
IterIS: Iterative Inference-Solving Alignment for LoRA Merging Hongxu Chen Runshi Li Bowei Zhu Zhen Wang Long Chen MoMe 98 0 0 21 Nov 2024
ATM: Improving Model Merging by Alternating Tuning and Merging Luca Zhou Daniele Solombrino Donato Crisostomi Maria Sofia Bucarelli Fabrizio Silvestri Emanuele Rodolà MoMe 44 4 0 05 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 39 2 0 23 Oct 2024
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang A. Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 57 3 0 17 Oct 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 44 0 0 07 Oct 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging Yiming Ju Ziyi Ni Xingrun Xing Zhixiong Zeng hanyu Zhao Siqi Fan Zheng Zhang MoMe 31 2 0 01 Oct 2024
Erasure Coded Neural Network Inference via Fisher Averaging Divyansh Jhunjhunwala Neharika Jali Gauri Joshi Shiqiang Wang MoMe FedML 26 1 0 02 Sep 2024
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement Le Yu Bowen Yu Haiyang Yu Fei Huang Yongbin Li MoMe 27 5 0 06 Aug 2024
Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 45 4 0 29 Jul 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models Jinliang Lu Ziliang Pang Min Xiao Yaochen Zhu Rui Xia Jiajun Zhang MoMe 38 18 0 08 Jul 2024
PLeaS -- Merging Models with Permutations and Least Squares Anshul Nasery J. Hayase Pang Wei Koh Sewoong Oh MoMe 45 3 0 02 Jul 2024
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization Bingdong Li Zixiang Di Yanting Yang Hong Qian Peng Yang Hao Hao Ke Tang Aimin Zhou MoMe 19 5 0 29 Jun 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Chenghao Fan Zhenyi Lu Wei Wei Jie Tian Xiaoye Qu Dangyang Chen Yu Cheng MoMe 48 5 0 17 Jun 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li T. Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu Yonghui Wu Jiang Bian Yong Chen Yoshua Bengio FedML MoMe 97 3 0 11 Jun 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation Cong Wang Kuan Tian Yonghang Guan Jun Zhang Zhiwei Jiang Fei Shen Xiao Han 42 5 0 27 May 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs O. Ostapenko Zhan Su E. Ponti Laurent Charlin Nicolas Le Roux Matheus Pereira Lucas Page-Caccia Alessandro Sordoni MoMe 37 31 0 18 May 2024
A safety realignment framework via subspace-oriented model fusion for large language models Xin Yi Shunfan Zheng Linlin Wang Xiaoling Wang Liang He 57 20 0 15 May 2024
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models Nithin Gopalakrishnan Nair Jeya Maria Jose Valanarasu Vishal M. Patel MoMe 33 7 0 15 Apr 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models Nastaran Saadati Minh Pham Nasla Saleem Joshua R. Waite Aditya Balu Zhanhong Jiang Chinmay Hegde Soumik Sarkar MoMe 42 1 0 11 Apr 2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better En-hao Liu Junyi Zhu Zinan Lin Xuefei Ning Shuaiqi Wang ... Sergey Yekhanin Guohao Dai Huazhong Yang Yu-Xiang Wang Yu Wang MoMe 55 4 0 02 Apr 2024
Arcee's MergeKit: A Toolkit for Merging Large Language Models Charles Goddard Shamane Siriwardhana Malikeh Ehghaghi Luke Meyers Vladimir Karpukhin Brian Benedict Mark McQuade Jacob Solawetz MoMe KELM 84 77 0 20 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning Feng Cheng Ziyang Wang Yi-Lin Sung Yan-Bo Lin Mohit Bansal Gedas Bertasius CLL MoMe 31 10 0 13 Mar 2024
Merging Text Transformer Models from Different Initializations Neha Verma Maha Elbayad MoMe 56 7 0 01 Mar 2024
Knowledge Fusion of Large Language Models Fanqi Wan Xinting Huang Deng Cai Xiaojun Quan Wei Bi Shuming Shi MoMe 31 61 0 19 Jan 2024
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization Alexandra Chronopoulou Jonas Pfeiffer Joshua Maynez Xinyi Wang Sebastian Ruder Priyanka Agrawal MoMe 24 14 0 15 Nov 2023
Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer S. N. Hari Matt Thomson 26 0 0 30 Oct 2023