认知扰动标注(CPA):一种基于认知冲突的数据标注方法
摘要
模型和多模态模型进入“规模报酬递减”阶段。现有的众包标记理论过分追求标注者之间的一致性[4-5],实际上削弱
了模型适应自然语言固有歧义性的能力[6]。针对此悖论,提出认知扰动标记(CPA)范式,建构标注熵(AE)量化
扰动价值,透过建构「语义地雷」与「逻辑陷阱」,生成认知冲突样本,并设计认知时薪框架,促使标记人员转型为
资料训练角色,提供资料层面的可行方案,以纾解大模型的幻觉。
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