No Reader Left Behind: Multi-Agent Summaries Everyone Can Understand
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
Record details
Published: 12 April 2026
Source: arXiv
Category: Research
Topics: Children & education · Agents & autonomy
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (12 April 2026), “No Reader Left Behind: Multi-Agent Summaries Everyone Can Understand,” evidence record 6015, https://ethics.ai/record/6015 (originally published by arXiv).
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