Author

Jian-Hao Huang

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#machine learning Preprint Oct 2026

Learning to Extrapolate in Depth with Looped Transformers

Looped transformers reuse a single block across iterations, raising a natural question: how far can a block trained at one depth be safely extrapolated to greater depths? We study this question for all-pairs graph connectivity, where harder graphs require longer-range information propagation. We show that under exchang...

Hui-Tao Yang, Jian-Hao Huang, Zi-Xuan Wang et al. · 0 citations

Preprint Aug 2026

A Visual Dependence-Aware Framework for Multimodal Unsupervised Continual Post-Training

In this paper, we explore a novel task of Multimodal Unsupervised Continual Post-Training (MU-CPT), enabling deployed MLLMs to continually evolve from streaming unlabeled data. Existing unsupervised post-training methods for MLLMs typically optimize target tokens uniformly, overlooking their heterogeneous visual depend...

Kaichen Li, Zhilin Zhu, Jian-Hao Huang et al. · 0 citations