{
  "id": 6015,
  "url": "https://arxiv.org/abs/2605.28836v2",
  "title": "No Reader Left Behind: Multi-Agent Summaries Everyone Can Understand",
  "summary": "The Plain Writing Act in the United States requires government documents to be accessible in clear and simple language that the general public can easily understand, yet existing summarization systems struggle to address diverse linguistic and cognitive barriers among general readers. We present NRLB (No Reader Left Behind), a multi-agent framework for plain language summarization that simulates three representative reader groups: elementary school student readers, non-native readers, and reader",
  "authors": "Jimin Jung, MyoungJin Kim, Jaehyung Seo, Heuiseok Lim",
  "category": "research",
  "topics": "children-education,agents-autonomy",
  "orgs": null,
  "regions": "us",
  "published_at": "2026-04-12T04:09:24.000Z",
  "fetched_at": "2026-07-14T16:32:11.183Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6015",
  "original_url": "https://arxiv.org/abs/2605.28836v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}