Zhong Fan
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Software Eng.×1NLP×1Systems and Control×1
Frequent co-authors
Research Timeline
2026
Knowledge Boundary Probing and Demand-Guided Intervention for LLM-Based Power System Code Generation
The paper addresses the reliability of open-weight LLMs for power system code generation by identifying structured API-knowledge boundary errors and proposing a boundary-aware intervention that significantly boosts accuracy without fine-tuning.
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