AI RESEARCH
Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging
arXiv CS.AI
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ArXi:2605.21789v1 Announce Type: cross Real-time jet tagging is critical for identifying short-lived particle decays in the high-throughput detectors of the Large Hadron Collider, where real-time trigger systems responsible for deciding which collision events to impose strict latency and accuracy constraints. While transformer architectures achieve the highest jet tagging accuracy when compute is unconstrained, their quadratic self-attention cost makes inference restrictive on trigger budget.