MetaSteer:基于上下文的、非线性转向通过注意力-投影自适应
MetaSteer是一种新的方法,用于引导大型语言模型,它引入了上下文相关的非线性干预,可能提高模型处理复杂任务的能力。
MetaSteer是一种新的方法,用于引导大型语言模型,它引入了上下文相关的非线性干预,可能提高模型处理复杂任务的能力。
> Abstract: Steering large language models typically relies on linear, context-independent interventions in activation space, an assumption that recent work ha…
Abstract: Steering large language models typically relies on linear, context-independent interventions in activation space, an assumption that recent work has…