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Dan-Dan Zhu

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Preprint Oct 2026

Trapped in Your Story: Evaluating Narrative-Induced Sycophancy in Large Language Models

Large language models (LLMs) are known to exhibit sycophancy by adjusting their responses toward users'expressed views. However, real users often justify their opinions through reasons, personal experiences, causal explanations, and broader narratives, raising the question of whether such narratives can further steer m...

Run Yang, Dan-Dan Zhu, Kai-Wei Zhang et al. · 0 citations

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