Papers with concrete task

1 papers
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks (2026.acl-short)

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Challenge: Xiao et al., 2024) show that softmax models display an attention sink . he argues that normalization over a probability simplex must force attention to collapse onto a stable anchor to realize a default state.
Approach: They show that normalization over a trigger-conditional behavior *necessarily* induces a sink in softmax self-attention models.
Outcome: The proposed model can solve a task with no sink in softmax models.

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