Verified65% confidenceFactExact time
The RLHF (Reinforcement Learning from Human Feedback) training method optimizes for the model's overconfidence deficiency, training the model to proactively express uncertainty when uncertain.
3
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65%
Confidence
Long-term
Relevance
7/16/2026
First Seen
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Related Claims
Verified确认偏误与RLHF（基于人类反馈的强化学习）训练方式相关，模型被优化为生成让人满意的回答82% similarUnverified对齐税（Alignment Tax）指基于人类反馈的强化学习（RLHF）训练可能让模型倾向于给出看似完整的答案，而非坦诚承认不确定性79% similarVerifiedSome systems embed safety preferences into model weights during the training phase through RLHF (Reinforcement Learning from Human Feedback), causing the model itself to tend to refuse generating certain content rather than relying on external filtering.79% similarUnverifiedModern reasoning models generally use RLHF or its variant RLAIF for alignment training, where the model learns during training when to stop reasoning and when to output an answer.77% similar
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