Unverified50% confidenceFactExact time
Through linear probe analysis, customer-goal attribution information becomes highly recoverable in the model's middle layers and is concentrated in specific attention heads.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
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Related Claims
UnverifiedIn the attention mechanism of current large models, the query vector is indirectly shaped by the task context and objective function, making it closer to the top-down mode.77% similarUnverifiedModels tend to focus on the beginning (Primacy Effect) and end (Recency Effect) of the context, exhibiting a U-shaped attention curve.70% similarUnverifiedDeclarative Attention (DA) allows the model to actively declare regions to attend to during chain-of-thought reasoning.70% similarUnverified思维链将模型内部工作记忆外部化，把中间推导结果存入上下文，借助注意力机制随时读取和复用70% similarUnverifiedAt each step, the remask sampler prioritizes confirming high-confidence positions based on model predictions and then remasks the remaining positions.69% similar
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