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Jin-Yue Yan

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#machine learning Preprint Oct 2026

Learning to Design SR Solvers: Harness Optimization for Symbolic Regression

Symbolic regression (SR) seeks explicit equations that explain observed data, and recent methods increasingly employ large language models (LLMs) and agents for equation discovery. However, these systems typically rely on manually designed workflows and prompts. We argue that the SR agent harness should itself be an op...

Qian Li, Yu-Xiao Hu, Qi-Hao Duan et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Constructed regional photovoltaic generation fields improve ultra-short-term distributed solar forecasting

Ultra-short-term forecasting of densely distributed photovoltaic (PV) systems remains challenging because external meteorological and satellite products may not adequately resolve rapid local variations, while heterogeneous PV systems exhibit different generation responses under similar atmospheric conditions. Meanwhil...

Da-Yin Chen, Xiao-Dan Shi, Xin Xu et al. · 0 citations

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