Lorentz-equivariant transformers outperform standard transformers for jet and flavor tagging whenever geometric 4-vector features dominate, and a 48M pretrained equivariant model matches far larger foundation models on top tagging.
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Virtues and Vices of Equivariant Transformers
Lorentz-equivariant transformers outperform standard transformers for jet and flavor tagging whenever geometric 4-vector features dominate, and a 48M pretrained equivariant model matches far larger foundation models on top tagging.