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Yueqiang Li

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Jul 2026

A Knowledge-Enhanced LLM Framework for Power Semantic Understanding and Multi-Agent Decision Support

A knowledge-enhanced LLM framework for power semantic understanding and multi-agent decision learning that consistently improves semantic grounding accuracy, restoration quality, and feasible-decision rate over rule-based, text-centric RAG, and graph-retrieval multi-agent baselines.

Yunfeng Zou, Ming Li, Yueqiang Li et al. · 0 citations
Preprint Jul 2026

StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows

This work presents StructureClaw, an artifact-centered workbench in which LLM agents operate through governed engineering skills, typed tools, shared artifact state, and local analysis backends, together with StructureClaw-Bench, an executable benchmark of 150 controlled scenarios spanning standard workflows, interactive robustness, and multimodal structural-model reconstruction.

Sizhong Qin, Yi Gu, Yao Jiang et al. · 0 citations