{
  "id": 14851243,
  "title": "Functional Subnetwork Localization for Efficient Continual Learning in Large Language Models",
  "url": "https://urgent.news/2026/10/15/functional-subnetwork-localization-for-efficient-continual-learning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-15T09:03:08.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.21537v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Biological intelligence continually adapts to new information while retaining prior skills through localized plasticity. In contrast, continual learning in large language models (LLMs) remains vulnerable to catastrophic forgetting. A promising direction is to identify functionally specialized subnetworks within LLMs that enable targeted and resource-efficient adaptation. Using…",
  "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."
}