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Merging experts based on their phase roles can enhance MoE-VLM performance by up to 9.6%, challenging the effectiveness of traditional global aggregation methods.
REFLEX redefines MoE inference by aligning expert computation with the distinct refinement needs of tokens, achieving efficiency gains without compromising quality.
