Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
Read about methods and theories for combining different language models in one, along with their applications and opportunities.
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Free · no card · unsubscribe anytimeModel Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
Awesome-Model-Merging-Methods-Theories-Applications has 778 stars on GitHub. It has been forked 48 times. It has been in active development since 2024. Its main topics are attack-defense, continual-learning, diffusion-models, ensemble-learning.
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
Awesome-Model-Merging-Methods-Theories-Applications is an open-source project.
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