AI RESEARCH
Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging
arXiv CS.LG
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ArXi:2510.23641v2 Announce Type: replace Transformers are very effective in capturing both global and local correlations within high-energy particle collisions, but they present deployment challenges in high-data-throughput environments, such as the CERN LHC. The quadratic complexity of transformer models demands substantial resources and increases latency during inference. In order to address these issues, we