{
  "id": 12003,
  "url": "https://arxiv.org/abs/2607.17191v1",
  "title": "Toward Anthropomorphic Dialogue: A Closed-Loop Framework for Human-Like Chat Generation, Evaluation, and Preference Alignment",
  "summary": "Human-like private chat requires more than fluent response generation: a system must preserve persona, relationship, memory, bounded knowledge, medium-specific timing, and a coherent multi-turn arc. We present AnthroDial, a closed-loop framework that formulates anthropomorphic dialogue as a joint problem of system architecture, executable evaluation, and diagnostic alignment. It combines (1) a role-conditioned scheduled dialogue runtime with persona and scenario cards, long-term memory, virtual",
  "authors": "Wentao Liu, Siyu Song, Xi Chen, Youjia Li, Xiaokun Wang, Min Ji et al.",
  "category": "research",
  "topics": "safety-alignment,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-19T11:06:40.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/12003",
  "original_url": "https://arxiv.org/abs/2607.17191v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}