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Transformer

technology371 mentionslast seen Nov 13, 2026

A neural network architecture mentioned as a component of hybrid large language models.

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large language modeldepends onTransformer

99% confidence7 supporting mentions

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Sources 7

preprintarXivNov 10, 2026Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic
Modern LLMs and is not mitigated by pure model scaling
preprintarXivOct 26, 2026Fairness Definitions in Language Models Explained
a novel taxonomy that categorizes these concepts based on their transformer architecture: encoder-only, decoder-only, and encoder-decoder LMs
preprintarXivOct 12, 2026LizTail: Unifying Shape Adaptation and Spatial Parallelism with Segment-Reconfigurable Systolic Arrays
Transformer-based large language models
preprintarXivOct 6, 2026World Properties without World Models: Distributional Associations and the Interpretation of Decoding Results from Language Models
variables can be linearly decoded from the activations of large language models (LLMs)
preprintarXivSep 22, 2026Sampling at intermediate temperatures is optimal for training large language models in protein structure prediction
transformer models trained on protein sequence data
preprintarXivAug 28, 2026AI Hardware Accelerators for Large Language Models: Architectures and the Memory Wall
Using the transformer's computational structure and roofline analysis as a common framework for analyzing large language models
preprintarXivMay 12, 2026Efficient and Adaptive Human Activity Recognition via LLM Backbones
large pretrained language models (LLMs) as generic temporal backbones