Methods › General › Activation Functions › SwiGLU

SwiGLU

13 papers tagged archive 2025-07-28

Introduced by Noam Shazeer in GLU Variants Improve Transformer

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

SwiGLU is an activation function which is a variant of GLU. The definition is as follows:

SwiGLU(x, W, V, b, c, β) = Swishᵦ(xW + b) ⊗(xV + c)

PaperSource

Papers archive 2025-07-28

13 shown of 13, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 35 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modeling3
Language Modelling3
Code Generation2
Large Language Model2
Mixture-of-Experts2
Multi-task Language Understanding2
Multiple Choice Question Answering (MCQA)2
Question Answering2
Sentence Completion2
8k1
Arithmetic Reasoning1
Auto Debugging1
Common Sense Reasoning1
Computational Efficiency1
Coreference Resolution1
Cross-Lingual Question Answering1
Few-Shot Learning1
Hindu Knowledge1
Hyperspectral Image Classification1
Image Classification1

Usage over time archive 2025-07-28

Papers per year tagged with SwiGLU: 2020 to 2025, peak 7 7 0 2020: 1 paper 2020 2021: 0 papers 2021 2022: 1 paper 2022 2023: 3 papers 2023 2024: 7 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (13 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Activation Functions

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