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Awesome-Model-Merging-Methods-Theories-Applications
attack-defense

Awesome-Model-Merging-Methods-Theories-Applications

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

by EnnengYang · GitHub
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attack-defensecontinual-learningdiffusion-models
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Read about methods and theories for combining different language models in one, along with their applications and opportunities.

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2026-07-202026-08-31
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Model 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.

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What is Awesome-Model-Merging-Methods-Theories-Applications?

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

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Awesome-Model-Merging-Methods-Theories-Applications is an open-source project.

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Yes. Awesome-Model-Merging-Methods-Theories-Applications is free and open source — you can use, modify and self-host it.

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