2 papers
cs.CE2026
An adjoint method for training data-driven reduced-order models
Donglin Liu, Francisco GarcÃa Atienza, Mengwu Guo
Reduced-order modeling lies at the interface of numerical analysis and data-driven scientific computing, providing principled ways to compress high-fidelity simulations in science…
cs.CL2024
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
Wenbei Xie, Donglin Liu, Haoran Yan +2
With the development of artificial intelligence (AI), large language models (LLM) are widely used in many fields. However, the reasoning ability of LLM is still very limited when i…