Unverified50% confidenceFactExact time
LLM 在 RLHF 训练中被强化了「尽快给出有用输出」的行为倾向，默认帮用户做事优先于和用户对齐认知
1
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50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
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Related Claims
UnverifiedThe higher priority of system prompts over user instructions is deliberately reinforced through dedicated alignment training data during the RLHF stage.84% similarUnverifiedMost current LLM agents are not directly trained using RL, but the reward signals they received during the RLHF phase shaped a tendency to 'please users'.78% similarUnverifiedCurrent mainstream LLMs universally adopt a pre-training plus fine-tuning paradigm, first performing unsupervised pre-training on internet-scale corpora, then aligning with human preferences through techniques such as RLHF.76% similarUnverified当前主流 LLM 采用指令遵循（Instruction Following）训练方式，会用概率最高的方式补全输出75% similarVerified当代前沿模型的训练方法包括RLHF（基于人类反馈的强化学习）及其后继者RLAIF和过程奖励模型（PRM）74% similar
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