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Ying-Jie Zou

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#artificial intelligence Preprint Nov 2026

Separating Common and Unique Directions for Model Merging

Model merging combines multiple fine-tuned models without additional training, and arithmetic methods have emerged as a simple yet effective way to merge models without data. However, existing arithmetic methods treat task vectors in parameter space and apply a single element-wise rule to directions that can differ in...

Shi-Ting Wang, Ying-Jie Zou, Ke-Cheng Li · 1 citation

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