[Accepted to ICANN'26] Top-θ Attention replaces Top-k for sparse attention, requiring x3 less V-cache reads, faster generative decoding for LLMs.
-
Updated
Jun 4, 2026 - Jupyter Notebook
[Accepted to ICANN'26] Top-θ Attention replaces Top-k for sparse attention, requiring x3 less V-cache reads, faster generative decoding for LLMs.
Neural Network, Backpropagation, and Transformer Decoder
In this we explore detailed architecture of Transformer
Add a description, image, and links to the transformer-decoder-model topic page so that developers can more easily learn about it.
To associate your repository with the transformer-decoder-model topic, visit your repo's landing page and select "manage topics."