{
  "id": 12513424,
  "title": "VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs",
  "url": "https://urgent.news/2026/10/06/visionweave-weaving-elastic-visual-representations-as-a-native",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T08:48:50.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.07987v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multimodal large language models have become the dominant paradigm for visual understanding, but incur substantial costs by encoding inputs into dense, fixed-size patch tokens. However, visual information is unevenly distributed: some regions require fine-grained detail, while others admit compact representations. Downsampling sacrifices this detail, while existing token pruning and adaptive…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}