{
  "id": 12526383,
  "title": "Sherpa: Teaching LLMs to Teach Adaptively",
  "url": "https://urgent.news/2026/10/06/sherpa-teaching-llms-to-teach-adaptively",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T17:58:18.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.08778v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not the same as being able to teach it. Existing approaches to training LLMs as teachers rely on demonstrations, preference data, or predefined pedagogical criteria that specify what good teaching looks like. However, these signals are often not grounded in individual student…",
  "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."
}