A multi-agent LLM framework that simulates diverse readers discussing news can identify comprehension gaps and generate audience-specific supplementary material, but the reported validation is confounded and underdocumented.
News dissemination: a semantic approach to barrier classification
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Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?
A multi-agent LLM framework that simulates diverse readers discussing news can identify comprehension gaps and generate audience-specific supplementary material, but the reported validation is confounded and underdocumented.