Concatenating visual tokens from multiple MLLMs in the same family and linearly merging their language model deltas yields a training-free fusion that improves multimodal benchmark scores over each source model.
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Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion
Concatenating visual tokens from multiple MLLMs in the same family and linearly merging their language model deltas yields a training-free fusion that improves multimodal benchmark scores over each source model.