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University of Wisconsin-Madison
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Hallucinations in language models often stem from biased inference paths rather than simply missing information, revealing a deeper layer of reasoning failure.
Trustworthy memory search can significantly reduce vulnerabilities in personal AI agents without compromising their long-term memory utility.
