Zeyuan publishes on ICML workshop

Our paper entitled Can Large Language Models Design Effective Neural Operators for Solving Partial Differential Equations? is accpeted by ICML 3rd AI for Math Workshop. This work develops a multi-agent LLM pipeline and explores the automation of theory-guided neural operator design for PDE learning.