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	<title>tsunami evacuation &#8211; BIOENGINEER.ORG</title>
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		<title>AI Turns Tsunami Evacuation Logs into Stories, But a New Audit Reveals Its Flaws</title>
		<link>https://bioengineer.org/ai-turns-tsunami-evacuation-logs-into-stories-but-a-new-audit-reveals-its-flaws/</link>
		
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		<pubDate>Tue, 06 Oct 2026 13:30:44 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[agent-based simulation]]></category>
		<category><![CDATA[data-to-text generation]]></category>
		<category><![CDATA[Disaster preparedness]]></category>
		<category><![CDATA[hallucination]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[multimodal RAG]]></category>
		<category><![CDATA[narrative rendering]]></category>
		<category><![CDATA[quality gates]]></category>
		<category><![CDATA[Retrieval-Augmented Generation]]></category>
		<category><![CDATA[simulation explainability]]></category>
		<category><![CDATA[synthetic population]]></category>
		<category><![CDATA[tsunami evacuation]]></category>
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					<description><![CDATA[Researchers in Japan built a quality-gate audit framework that reveals how reliably multimodal retrieval-augmented generation converts tsunami evacuation simulation logs into first-person narratives, finding high location fidelity but persistent timestamp omissions and internal-code leakage.]]></description>
		
		
		
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