{
  "id": 2917975,
  "title": "CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment",
  "url": "https://urgent.news/2026/08/21/clear-continuous-latent-adapter-routing-for-utility-preserving-llm",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-21T16:36:10.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.21278v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Improving the safety of large language models (LLMs) often comes at the expense of utility, as globally applied safety tuning may affect model responses to both harmful and benign inputs. We propose \\textbf{C}ontinuous \\textbf{L}at\\textbf{E}nt \\textbf{A}dapter \\textbf{R}outing (CLEAR), a conditional safety adaptation framework that uses a lightweight hidden-state gate to continuously control the…",
  "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."
}