Expired50% confidenceFactExact time
Large language models exhibit a "sycophancy" tendency, inclining toward affirmative answers when asked to judge whether a task is complete.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
Unverified奉承偏见（Sycophancy）指模型倾向于迎合用户观点，即便用户判断有误，源于RLHF训练中标注者对令人愉快回答的隐性偏好71% similarUnverifiedReasoning tasks require a strong logical chain while summarization tasks demand concise language ability, and using the same model for both not only wastes computing power but may also not yield the best results.70% similarUnverified使用包含引导语的Chain-of-Thought提示，可使大语言模型在复杂推理任务上准确率提升40%以上70% similarVerifiedThe emergent capability of large language models refers to the complex reasoning ability that suddenly manifests after the parameter scale surpasses a certain threshold.70% similarUnverifiedLarge language models can approximately estimate decision confidence by analyzing token probability distributions, explicitly outputting self-evaluation scores, or observing answer consistency across multiple samplings.70% similar
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