Research on explaining and controlling sycophancy (LLMs' tendency to agree with users rather than give honest assessments). Proposes techniques for verbalizing model assumptions to improve transparency and reliability in LLM outputs.
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Verbalizing LLMs' assumptions to explain and control sycophancy
Study shows verbalizing LLM assumptions reduces sycophancy and agreement bias, enabling better control over model honesty and output reliability.
Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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