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Qi Sun

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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
#artificial intelligence Preprint Oct 2026

From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA

Retrieval-Augmented Generation (RAG) is widely used to ground answers in documents. For complex technical documentation, however, the primary bottleneck is often not model reasoning but a mismatch between a query and the way knowledge is organized for retrieval. This mismatch is pronounced in Electronic Design Automati...

Xiao-Tian Qiu, Kai-Rui Liu, Chen Shi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

WaveletECO: A Closed-Loop Physical ECO Platform and a Specialized Local Language Model

WaveletECO, which integrates a closed-loop execution platform with large language models to enable agents to execute ECO decisions effectively, is proposed, and results show that specialized model training supports effective, low-cost multi-round ECO repair, with repair quality retained under INT8 quantization.

Guo-Xiang Xu, Guo-Zhen Ji, Zi-Jian Luo et al. · 0 citations
Preprint Aug 2026

RODE: A Radial-Orthogonal Decoupled Engine for Optimization

This work introduces RODE, which gives the radial and directional components separate update rules and step sizes in the matrix Frobenius norm, and suggests that decoupling radial and directional dynamics offers a more effective and controllable approach to matrix optimization.

Guo-Xiang Xu, Bince Qu, Qi Sun et al. · 0 citations

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