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University of Trento
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MLLMs often struggle with reasoning due to a failure in dynamic cross-modal coordination, but DyCo-RL fixes this by optimizing attention shifts for better performance.
VLLMs can be made much faster without sacrificing accuracy by intelligently merging redundant tokens across space and time using optimal transport.
