Author

Yu Li

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#machine learning Preprint Sep 2026

Beyond Selection: Token Parameterization for Extreme Visual Token Compression

Braco is a lightweight four-step coder that combines transform-basis truncation, input-independent basis-coordinate embeddings, budget-dependent orthogonal re-parameterization, and learned spatial residual tokens from lightweight pooling that forms the favorable empirical accuracy-efficiency frontier under compression.

Rui-Lian Zhong, Yu Li, Zhe-Yu Yan et al. · 0 citations

#machine learning Preprint Aug 2026

TrainSDC: Characterizing and Mitigating Silent Data Corruption in Large Language Model Training

This work presents the first systematic characterization of SDC vulnerability across major computation interfaces in both the forward and backward passes of Transformer training, and proposes TrainSDC, a characterization-guided protection framework consisting of Q/K-path recomputation, residual-gain monitoring, and exp...

Zhijie Xia, Haotian Xu, Si-Yu Yun et al. · 0 citations