{
  "id": 4367,
  "url": "https://arxiv.org/abs/2605.14034v1",
  "title": "From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents",
  "summary": "Wide applications of LLM-based agents require strong alignment with human social values. However, current works still exhibit deficiencies in self-cognition and dilemma decision, as well as self-emotions. To remedy this, we propose a novel value-based framework that employs GraphRAG to convert principles into value-based instructions and steer the agent to behave as expected by retrieving the suitable instruction upon a specific conversation context. To evaluate the ratio of expected behaviors, ",
  "authors": "Jinxian Qu, Qingqing Gu, Teng Chen, Luo Ji",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-13T18:50:22.000Z",
  "fetched_at": "2026-07-14T16:30:59.234Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4367",
  "original_url": "https://arxiv.org/abs/2605.14034v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}