{
  "id": 4544342,
  "title": "GRACE:Gradient-guided Coreset Selection for LLM Unlearning",
  "url": "https://urgent.news/2026/08/28/grace-gradient-guided-coreset-selection-for-llm-unlearning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-28T14:12:49.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.28361v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Machine Unlearning methods for Large Language Models typically assume pre-specified forget and retain sets. In realistic settings, however, requests may provide only a few examples of undesired behavior, requiring forget and retain sets to be inferred from heterogeneous corpora. We study this data-selection problem and propose GRACE , a gradient-guided coreset selection method that constructs…",
  "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."
}