Unverified50% confidenceOpinionExact time
RLHF本质上是在模型输出分布上施加统计偏好，而非植入真正的价值理解，导致表面对齐在面对对抗性输入时易崩塌
1
Sources
50%
Confidence
Long-term
Relevance
8/6/2026
First Seen
Sources
Related Claims
Unverified经过RLHF对齐后的模型倾向于收敛到最安全、最高概率的输出，从而牺牲了创造性与多样性78% similarUnverifiedThe core idea of RLMF is to optimize how accurately the model expresses its degree of confidence in an answer, rather than simply optimizing what the model says.78% similarUnverifiedRLHF is essentially a behavioral-level constraint that does not alter the model's underlying capabilities; models trained with RLHF still retain latent knowledge of the restricted behaviors.75% similarUnverifiedRLHF本质上是优化模型表达风格使其符合人类偏好，而非赋予模型真实情感体验75% similar
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