ArXiv TLDR

Liang Luo

3 papers · Latest:

Machine Learning

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

LoKA introduces a system-model co-design framework to make FP8 low-precision arithmetic practical and efficient for large recommendation models.

2605.10886
Mesoscale & Nanoscale Physics

Magnetic Brightening and Nanoscale Imaging of Spin-Polarized Helical Edge Modes

Researchers visualize and magnetically tune spin-polarized helical edge modes at the nanoscale, showing robust high-frequency conduction.

2605.04883
Machine Learning

FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost

FreeScale optimizes distributed training for sequence recommendation models, reducing computational bubbles by up to 90.3% on 256 H100 GPUs.

2604.24073

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