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Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language Models

Jittham, Thantham
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learningmultiagent-systems
Sycophancy in large language models, the tendency to prioritize user agreement over truthful responses, has been documented extensively but studied primarily in single-turn settings. This paper investigates a critical question: does subjecting LLMs to greater interaction scaffolding make sycophancy
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