3 citations · 5 across the 13 of their papers we have counts for
4 papers · 1 filter
An explainable operator approximation framework under the guideline of Green's function
Jianghang Gu, Ling Wen, Yuntian Chen +1
Traditional numerical methods, such as the finite element method and finite volume method, adress partial differential equations (PDEs) by discretizing them into algebraic equation…
Discovery of Green's function based on symbolic regression with physical hard constraints
Jianghang Gu, Mengge Du, Yuntian Chen +1
The Green's function, serving as a kernel function that delineates the interaction relationships of physical quantities within a field, holds significant research implications acro…
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
Siyu Lou, Yuntian Chen, Xiaodan Liang +2
In this study, we propose an axiomatic system to define and quantify the precise memorization and in-context reasoning effects used by the large language model (LLM) for language g…
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression
Siyu Lou, Chengchun Liu, Yuntian Chen +1
Thin-layer chromatography (TLC) is a crucial technique in molecular polarity analysis. Despite its importance, the interpretability of predictive models for TLC, especially those d…