{
  "id": 5485336,
  "title": "Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views",
  "url": "https://urgent.news/2026/09/03/knowledge-acquisition-during-pre-training-large-language-models-learn",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-03T17:57:02.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.04180v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Gaps remain in our understanding of how large language models (LLMs) acquire knowledge during pre-training. We posit that auxiliary views, reformulations of knowledge, are causally helpful for learning. We design controlled experiments to isolate this. First, we confirm that repetition is necessary for acquisition and clarify that paraphrasing helps only at smaller batch sizes. Second, holding…",
  "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."
}