LLM embeddings condition generative networks for LHC events, yielding faster convergence, higher quality, and generalization to unseen processes.
OmniJet-α: The first cross-task foundation model for particle physics.Machine Learning: Science and Technology, 5:035031, 2024
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Pretraining data composition can engineer scaling laws for jet classification to favor data scaling over model scaling.
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One Generator, Any Process: LLM-Conditioning for the LHC
LLM embeddings condition generative networks for LHC events, yielding faster convergence, higher quality, and generalization to unseen processes.
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Towards Engineering Scaling Laws with Pretraining Data Composition
Pretraining data composition can engineer scaling laws for jet classification to favor data scaling over model scaling.