{
  "id": 527032,
  "title": "Fusion Training for Mathematical Generalization in Large Language Models",
  "url": "https://urgent.news/2026/08/10/fusion-training-for-mathematical-generalization-in-large-language",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-10T17:41:19.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.09893v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Thinking Mode Fusion (TMF) enables large language models to support both concise responses and long-form reasoning by unifying a non-thinking mode and a thinking mode within a single model. However, its training dynamics, including the \\emph{data ratio} and \\emph{training schedule} between the two modes, remain underexplored. In this work, we present a systematic study of TMF by analyzing 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."
}