{
  "id": 4770763,
  "title": "Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training",
  "url": "https://urgent.news/2026/08/31/reading-the-news-adapting-large-language-models-to-swedish-journalism",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T11:20:55.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.30609v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models are increasingly capable in general, but their utility can remain modest in niche or understudied areas. One approach to address this limitation is to specialise existing models through additional training on target-domain corpora. In this work, we investigate such continued pre-training for adapting large language models to Swedish journalism, using a high-quality dataset…",
  "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."
}