Author

Yu Li

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#machine learning Preprint Oct 2026

LLM-Augmented Bayesian Optimization with Adaptive Policies for Chiplet Design Space Exploration

Chiplet technology is a key approach for extending Moore's Law. However, its design process is constrained by two primary challenges: the scarcity of early-stage platforms for rapidly evaluating chiplet-based heterogeneous systems, and the complex relationships between design parameters and optimization metrics. To add...

Hang Liu, Zheng-Fei Chen, Zheng-Rui Chen et al. · 0 citations

#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