{
  "id": 10846327,
  "title": "AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation",
  "url": "https://urgent.news/2026/09/29/advisd-learning-to-advise-frontier-llms-via-targeted-multi-turn-self",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T17:55:40.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.38142v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "A small trainable advisor can steer a frozen language-model executor using natural-language advice. In addition to learning from task rewards, the advisor can use feedback from completed interactions to improve its advice. However, a plausible correction need not change execution, yet learning from such corrections can still affect the advisor's future decisions in other contexts. In a…",
  "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."
}