AWhat changed
Interleaved implicit long convolutions with input-dependent multiplicative gates as a subquadratic sequence operator for language modeling.
Scientific scope
Interleaved implicit long convolutions with input-dependent multiplicative gates as a subquadratic sequence operator for language modeling. This is an attention alternative, not exact dense-attention acceleration. Quality and speed claims depend on sequence length, task and implementation.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This is an attention alternative, not exact dense-attention acceleration. Quality and speed claims depend on sequence length, task and implementation.
Contributors
- Source-listed authors and technical contributors · SCIENCE: 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.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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