EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
GitHub repository with 747 stars and 45 forks.
Topics: attack-defense, continual-learning, ensemble-learning, federated-learning, generalization, generative-model, large-language-models, model-fusion, model-merging, multi-domain-learning