AI RESEARCH
Particle-Lund Multimodality in Jet Taggers
arXiv CS.LG
•
ArXi:2605.26821v1 Announce Type: cross The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached state-of-the-art performance by learning directly from raw particle constituents and their pairwise relations. We investigate whether transformers implicitly capture hierarchical QCD structure from constituent-level inputs, or whether explicit physics representations remain complementary. To test this, we.