Papers
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati, Minh Pham, Nasla Saleem et al.
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
Zhenyi Lu, Chenghao Fan, Wei Wei et al.
EMR-Merging: Tuning-Free High-Performance Model Merging
Chenyu Huang, Peng Ye, Tao Chen et al.
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Deyuan Liu, Zhanyue Qin, Hairu Wang et al.
Causal vs. Anticausal merging of predictors
Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf et al.
Video Token Merging for Long Video Understanding
Seon-Ho Lee, Jue Wang, Zhikang Zhang et al.
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
Xiaotong Li, Fan Zhang, Haiwen Diao et al.
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Minghui Chen, Meirui Jiang, Xin Zhang et al.
$C^2M^3$: Cycle-Consistent Multi-Model Merging
Donato Crisostomi, Marco Fumero, Daniele Baieri et al.
Accelerating Transformers with Spectrum-Preserving Token Merging
Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen et al.
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
Jialu Li, Jaemin Cho, Yi-Lin Sung et al.
Parameter Competition Balancing for Model Merging
Guodong Du, Junlin Lee, Jing Li et al.
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
Taihang Hu, Linxuan Li, Joost van de Weijer et al.
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
Zhehao Wang, Xian Lin, Nannan Wu et al.
Gaze Target Detection by Merging Human Attention and Activity Cues
Yaokun Yang, Yihan Yin, Feng Lu
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang, Gang Yang, Yueyi Zhang et al.
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen, Peixi Peng, Yangru Huang et al.
Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database
Christina P. Walker, Daniel S. Schiff, Kaylyn Jackson Schiff
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
Yifeng Ding, Jiawei Liu, Yuxiang Wei et al.
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models
Gabriel Perin, Xuxi Chen, Shusen Liu et al.
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
Shitao Xiao, Zheng Liu, Peitian Zhang et al.
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
Masanori Yamada, Tomoya Yamashita, Shin’ya Yamaguchi et al.
Fisher Mask Nodes for Language Model Merging
Thennal D K, Ganesh Nathan, Suchithra M S