---
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canonical_url: "https://aidr.today/0f610a9e?lang=en"
title: "VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs"
lang: "en"
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available_langs: ["en","vi"]
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published_at: "2026-10-12T00:00:00.000Z"
category: "Research"
topics: ["llm"]
source_urls: ["https://huggingface.co/papers/2610.07987"]
summary: "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."
---

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

> [Open the canonical story](<https://aidr.today/0f610a9e?lang=en>)

**Published:** 2026-10-12T00:00:00.000Z
**Category:** Research
**Topics:** llm

## Summary

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\.

## Sources

- [Story source](<https://huggingface.co/papers/2610.07987>)