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Ye et al.: Differential attention for context-noise suppression

Computed attention through a learned difference of two softmax maps, seeking to suppress irrelevant context while improving retrieval and language-model behavior in reported experiments.

What is recorded here?

Computed attention through a learned difference of two softmax maps, seeking to suppress irrelevant context while improving retrieval and language-model behavior in reported experiments.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Noise cancellation is an architectural intuition and empirical finding, not universal elimination of hallucinations or attention error. Subtractive attention changes the architecture and is not exact dense-attention acceleration.

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People and systems

Tianzhu Ye; Li Dong; Yuqing Xia; Yutao Sun; Yi Zhu; Gao Huang; Furu Wei

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Ye et al.: Differential attention for context-noise suppression

Computed attention through a learned difference of two softmax maps, seeking to suppress irrelevant context while improving retrieval and language-model behavior in reported experiments.

Scientific scope

Noise cancellation is an architectural intuition and empirical finding, not universal elimination of hallucinations or attention error. Subtractive attention changes the architecture and is not exact dense-attention acceleration.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Tianzhu Ye; Li Dong; Yuqing Xia; Yutao Sun; Yi Zhu; Gao Huang; Furu Wei

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources