VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs

Researchers have developed VisionWeave, a method that enables multimodal large language models to dynamically allocate visual representations at varying granularities, using a gated spatial pooler and a granularity router to balance fine-grained and coarse representations during large-scale training.