{
  "id": 7400,
  "url": "https://arxiv.org/abs/2604.00021v1",
  "title": "How Do Language Models Process Ethical Instructions? Deliberation, Consistency, and Other-Recognition Across Four Models",
  "summary": "Alignment safety research assumes that ethical instructions improve model behavior, but how language models internally process such instructions remains unknown. We conducted over 600 multi-agent simulations across four models (Llama 3.3 70B, GPT-4o mini, Qwen3-Next-80B-A3B, Sonnet 4.5), four ethical instruction formats (none, minimal norm, reasoned norm, virtue framing), and two languages (Japanese, English). Confirmatory analysis fully replicated the Llama Japanese dissociation pattern from a ",
  "authors": "Hiroki Fukui",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy",
  "orgs": "meta",
  "regions": "japan",
  "published_at": "2026-03-11T03:20:16.000Z",
  "fetched_at": "2026-07-14T16:33:12.390Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7400",
  "original_url": "https://arxiv.org/abs/2604.00021v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}