{
  "id": 16556,
  "url": "https://arxiv.org/abs/2608.03731v1",
  "title": "CARE-Bench: Benchmarking Patient-Facing LLM Triage",
  "summary": "Patient-facing medical LLMs and agents increasingly answer symptom questions before clinician contact, where the key safety question is what action the user should take next. We introduce CARE-Bench, a source-grounded benchmark that evaluates sequential patient-facing triage as a four-label per-turn current-action task. CARE-Bench contains 500 cases and 1,059 evaluated patient-disclosure prefixes reconstructed from medical dialogue, consultation, and follow-up-question sources. We evaluate 11 mo",
  "authors": "Yining Hua, Hongbin Na, Cyrus Ayubcha",
  "category": "research",
  "topics": "healthcare,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T14:26:45.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "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/16556",
  "original_url": "https://arxiv.org/abs/2608.03731v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}