OmniJet-α
Turns jets into a vocabulary of tokens, learns to generate them like a language model, then transfers that knowledge to classifying jets.
- Made by
- Joschka Birk, Anna Hallin, Gregor Kasieczka (University of Hamburg)
- Field
- Collider physics
- Learns from
- JetClass jets turned into tokens; a follow-up used 178 million real CMS jets
- Size
- Not stated
- Open weights
- Yes
- First public
- Mar 2024
- Source
- arxiv.org/abs/2403.05618
How it relates to Flare
Its paper claimed "the first cross-task foundation model for particle physics" in 2024, so CERN's "first foundation model for collider physics" is best read as the first at this scale and for whole collisions.
Links
Every figure here is from the source above, checked 17 October 2026. Something changed? Email [email protected].