{
  "id": 29,
  "url": "https://arxiv.org/abs/2607.10871v1",
  "title": "Toward Contemplative LLM: A Modular Framework for Evaluating and Enhancing LLM Alignment in Mental Health",
  "summary": "Contemplative traditions have long guided ethical behavior and prosocial interaction, and recent work suggests that contemplative principles (e.g., mindfulness, compassion, non-dual reasoning) may offer a promising paradigm for aligning large language models (LLMs), improving cooperation and reducing ethical violations in LLM outputs. However, as new models, evaluation metrics, and benchmarks emerge rapidly, it remains challenging to systematically assess whether and how contemplative principles",
  "authors": "Asher Sprigler, Yang-Yang Feng, Iftach Amir, Jonathan E. Bogard, Todd S Braver, Yi Ding et al.",
  "category": "research",
  "topics": "safety-alignment,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T18:23:52.000Z",
  "fetched_at": "2026-07-14T14:14:15.664Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/29",
  "original_url": "https://arxiv.org/abs/2607.10871v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}