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Hongtao Zhang

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#machine learning Preprint Sep 2026

Looped Transformers as Optimizers

Looped Transformers provide a parameter-efficient approach to depth scaling by repeatedly applying shared Transformer blocks. Recent reasoning models have likewise highlighted the value of scaling test-time computation through longer computation trajectories. However, the principles for designing effective loop transit...

Yu-Long Huang, Chen Jiang, Zhan-Peng Zhou et al. · 0 citations
Book Open access Aug 2026

Efficient and Flexible Datapaths for Fine-Grained Rack-Scale Interconnects with Elastic QP

This work proposes Software-Interposed Datapath (SID), an efficient, software-flexible, and low-cost solution for rack-scale interconnects, particularly optimized for fine-grained memory access.

Chenxingyu Zhao, Yibo Wu, Hong-Tao Zhang et al. · 0 citations

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