SSR-Merge merges LoRAs via subspace construction, inverse correlation decorrelation, and directional steering, shown to match the OLS solution with a streaming implementation that outperforms prior merging methods.
Concrete subspace learning based interference elimination for multi-task model fusion
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The paper introduces a new taxonomy for model merging methods and reviews their applications in LLMs, MLLMs, continual learning, multi-task learning, and other subfields while outlining open challenges.
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SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
SSR-Merge merges LoRAs via subspace construction, inverse correlation decorrelation, and directional steering, shown to match the OLS solution with a streaming implementation that outperforms prior merging methods.
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Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
The paper introduces a new taxonomy for model merging methods and reviews their applications in LLMs, MLLMs, continual learning, multi-task learning, and other subfields while outlining open challenges.