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Li-Hao Liu

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#machine learning Preprint Oct 2026

Transferability of Learned States in Neural PDE Solvers

Assessing useful reuse in neural PDE solvers is challenging: final accuracy can reflect source learning and target-time computation. Our reuse contract separates solution accuracy, learning contribution, and numerical utility through paired state comparisons, matched target information and budgets, and cost accounting....

Shun-Ye Wang, Hao-Chen Wen, Shuo-Li Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize

ESO (Error-Structured Prompt Optimization), which decomposes prompt optimization into three phases: Diagnose clusters all training errors into structural patterns in one round; generate candidates via four complementary strategies with independent biases; Select applies bootstrap stability selection.

Li-Hao Liu, Peng Tang, Kunwar Yashraj Singh et al. · 0 citations

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