AINeutralarXiv – CS AI · 14h ago6/10
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No Reader Left Behind: Multi-Agent Summaries Everyone Can Understand
Researchers introduced NRLB, a multi-agent AI framework designed to create plain language summaries accessible to diverse reader groups including elementary students, non-native speakers, and those with attention deficits. The system combines template-based planning with iterative refinement to improve readability while maintaining factual accuracy, achieving human preference rates of 55-76% in evaluations.