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Posts in NAS

by Difan
February 12, 2026

Towards Token-Level Hybrid Attention Architectures

The softmax attention models have become a keystone in modern large language models (LLMs). However, the […]
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by Difan
February 10, 2026

Neural Attention Search: NAS beyond Layer Level

Neural Architecture Search (NAS) has achieved great success by searching for optimal architectures for specific tasks by […]
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by mlindauer
September 8, 2025

AutoML’25: Iterative Monte Carlo Tree Search for NAS

Submitted by Mehraveh Javan Roshtkhari, Matthew Toews and Marco Pedersoli as part of the AutoML’25 conference The […]
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