Author

Chao Shen

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Preprint Oct 2026

Fix What's Wrong, Keep What's Right: Hallucination Repair for LLM-Based Optimization Modeling

Large language models (LLMs) are increasingly being explored to automate operations research modeling, reduce modeling time and lower the expertise barrier to optimization based decision support. However, this process often introduces inconsistencies between generated artifacts and the original problem, which we refer...

Jia-Geng Wu, Chao Shen, Zi-Han Guo et al. · 0 citations

Preprint Aug 2026

AIDC Microgrid Vulnerability Assessment Under Computing-Power Coordinated Attacks

The rapid growth of large language model (LLM) services is expanding AI data centers (AIDCs), increasing electricity demand and associated carbon emissions. Renewable energy integration can mitigate these impacts but also strengthens the coupling between AIDC loads and inverter-interfaced generation, creating cross-dom...

Ze Yu, Hong Zhen, Chao Shen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

LLaTSA: Large Language Model-Aligned General-Purpose Transient Stability Analysis

Dynamic trajectory prediction has become an important paradigm for data-driven transient stability analysis (TSA), yet most existing predictors remain system-specific and require substantial retraining when network configurations, generation mixes, or state-variable sets change. Uni-TSA introduced a general-purpose TSA...

Chao Shen, Hong Zhen, Jun-Yan Shao et al. · 0 citations