{
  "id": 16938,
  "url": "https://arxiv.org/abs/2608.04772v1",
  "title": "Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent",
  "summary": "Scaling supervision for multi-turn medical agents is difficult because expert dialogue annotation is costly and clinical conversations are privacy-restricted. We introduce Guideline-as-Oracle (GAO), which compiles American Academy of Ophthalmology guidance into a 70-row operational rule table and uses it as the sole source of instance-level supervision for 3,000 training dialogues, reserving human labeling for evaluation. Because converting rules into dialogues is itself a design problem, we cat",
  "authors": "Chenyu Wang, Yi Liu, Baoqing Li, Min Tu, Diping Song",
  "category": "research",
  "topics": "privacy-surveillance,healthcare,agents-autonomy",
  "orgs": null,
  "regions": "us",
  "published_at": "2026-08-05T12:37:31.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16938",
  "original_url": "https://arxiv.org/abs/2608.04772v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}