Unverified50% confidenceFactExact time
绝大多数RLHF标注工作以英语为主，导致不同语言间对齐质量存在结构性失衡
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
UnverifiedAlignment annotation work at institutions such as Anthropic and OpenAI relies heavily on native English-speaking annotators, and the vast majority of RLHF annotation work is conducted primarily in English.78% similarUnverifiedThe safety alignment of many models degrades significantly in non-English languages, and low-resource languages are especially easy to exploit because the human annotation data for RLHF alignment training is highly concentrated in English.76% similarUnverifiedRLHF标注工作对标注者要求远高于传统众包任务，需要具备较强的语言理解能力、领域知识乃至编程能力71% similarUnverifiedOpenAI的RLHF和Anthropic的Constitutional AI等主流对齐方法本质上包含对输出语言风格的隐性约束65% similar
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