A precise measurement of the top-Higgs coupling is essential in particle physics, as it offers a powerful probe of potential new physics beyond the Standard Model (BSM), particularly scenarios involving CP violation, which is a key condition in addressing the problem of baryon asymmetry of the universe. In this article, we review the recent progress in the studies of the the top-Higgs coupling at the Large Hadron Collider (LHC). We briefly highlight the recent Machine Learning (ML) algorithms being used and their role in constraining the CP phase of the top-Higgs coupling with an emphasis on the future potential of beyond-the-traditional methods such as transformers and heterogeneous graphs in these studies.
@article{arxiv.2504.11791,
title = {Progress in ${\cal CP}$ violating top-Higgs coupling at the LHC with Machine Learning},
author = {A. Hammad and Adil Jueid},
journal= {arXiv preprint arXiv:2504.11791},
year = {2025}
}