{
  "id": 3317,
  "url": "https://arxiv.org/abs/2606.01552v1",
  "title": "RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents",
  "summary": "Role-playing agents(RPAs) are widely used to steer large language models(LLMs) toward role-consistent behavior, yet existing benchmarks mainly evaluate surface-level fidelity and offer limited insight into decision making under role-alignment value conflicts. To address this gap, we introduce RoleCDE, the first benchmark designed to evaluate RPAs under structured conflicts between role-specific values and alignment-oriented constraints. RoleCDE formulates role-aware decision making as cognitive ",
  "authors": "Huayi Lai, Shichao Song, Simin Niu, Hanyu Wang, Jiawei Yang, Zhouxing Wang et al.",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-01T01:56:27.000Z",
  "fetched_at": "2026-07-14T16:30:09.961Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3317",
  "original_url": "https://arxiv.org/abs/2606.01552v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}