Verified75% confidenceFactExact time
Large language models exhibit a sycophancy tendency, changing originally correct positions with relatively high probability when users express dissatisfaction.
3
Sources
75%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Related Claims
UnverifiedCurrent large language models exhibit a 'Sycophancy Bias,' meaning AI tends to defer to the user's position rather than providing objectively correct answers.77% similarVerifiedLarge language models have a sycophancy characteristic, tending to organize their output according to the inclination of the prompt rather than reflecting factual truth.77% similarUnverifiedSharma et al. (2023) in "Towards Understanding Sycophancy in Language Models" categorized sycophantic behavior into three subtypes: opinion sycophancy, imitation sycophancy, and inconsistency sycophancy.76% similarVerified研究表明大语言模型规模越大，幻觉的伪装性往往越强，能生成更连贯、更具说服力的错误内容75% similarUnverified系统提示词的语言选择会影响输出风格，当系统提示词语言与用户输入语言不一致时会产生行为叠加效应73% similar
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