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CoMerge: Conflict-Driven Preference Optimization for Multi-Task Model Merging
Model merging provides an efficient paradigm for constructing multi-task large language models (LLMs) without full model retraining, yet it remains challenged by parameter interference. While existing methods aim to preserve the capabilities of individual expert models and mitigate interference, the
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