Papers by Samuel Pinilla

1 papers
Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers (2026.findings-eacl)

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Challenge: Token-Wise Kernels (TWiKers) are a novel enhancement to transformers that learn token-specific convolutional kernels applied to the keys or values.
Approach: They propose a transformer enhancement that learns token-specific convolutional kernels applied to the keys or values.
Outcome: The proposed transformers learn token-specific convolutional kernels applied to the keys or values . the results show that content words retain self-focus while function words shift attention toward their neighbors .

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