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University of Passau
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The core assumption that user behavior reveals intent breaks down when AI agents are privately configured by humans, creating a fundamental identifiability problem for information retrieval.
Forget relying on scarce, privacy-hampered real user data – Agent4DL lets you simulate realistic digital library search behavior with LLMs, outperforming existing simulators in diversity and context-awareness.
