{
  "id": 9068352,
  "title": "Not All Task Vectors Need Equal Rank: Energy-Proportional Allocation for Model Merging",
  "url": "https://urgent.news/2026/09/21/not-all-task-vectors-need-equal-rank-energy-proportional-allocation",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-21T12:54:45.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.24517v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Model merging aims to combine multiple fine-tuned models derived from a common pretrained model into a single multi-task model without additional joint training. Recent spectral merging methods improve over simple weight averaging by exploiting low-rank structures of task-specific updates, but they commonly assign the same rank capacity to every task. This uniform allocation ignores that task…",
  "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."
}