Zongzhao Li

Large Language-Geometry Model: When LLM meets Equivariance

2025 · arXiv (Cornell University)

Accurately predicting 3D structures and dynamics of physical systems is crucial in scientific applications. Existing approaches that rely on geometric Graph Neural Networks (GNNs) effectively enforce $\mathrm{E}(3)$-equivariance, but they often fall in leveraging extensive broader …