Speaker
Zhuo-Yang Song
(Peking University)
Description
In high-energy physics, calculating Feynman integrals efficiently remains challenging due to the computational demands of traditional methods. We are developing a new approach relying on code generation capabilities of large language models to optimize integration-by-parts (IBP) reduction by combining advanced techniques with classical algorithms. This method shows significant improvements in efficiency and scalability, with reduced memory usage compared to conventional techniques.
Primary author
Zhuo-Yang Song
(Peking University)
