7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.SE2026
Knowledge Boundary Probing and Demand-Guided Intervention for LLM-Based Power System Code Generation
Hui Wu, Xiaoyang Wang, Zhong Fan
Large language models (LLMs) are increasingly used to automate power-system analysis, but many utilities and energy-research labs require on-premise serving for confidentiality, re…
cs.PL2024★ 7 cited
Probabilistic Programming with Programmable Variational Inference
McCoy R. Becker, Alexander K. Lew, Xiaoyan Wang +4
Compared to the wide array of advanced Monte Carlo methods supported by modern probabilistic programming languages (PPLs), PPL support for variational inference (VI) is less develo…