{
  "id": 15838736,
  "title": "Beyond the Sequentiality Bottleneck: A Hybrid Diffusion-Autoregressive Framework for Efficient Multimodal Reasoning",
  "url": "https://urgent.news/2026/10/20/beyond-the-sequentiality-bottleneck-a-hybrid-diffusion-autoregressive",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-20T17:39:41.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.28584v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Autoregressive models (ARMs) face a \"Sequentiality Bottleneck\" in reasoning, while diffusion language models (DLMs) offer parallelism but lack semantic coherence. To addresses both limitations, we propose Collaborative Reasoning Asymmetric Learning (CoRAL), a hybrid framework via an Asymmetric Planner-Executor (APE) architecture: a DLM Planner generates K diverse reasoning trajectories in…",
  "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."
}