LLM embeddings condition a generative transformer to enable faster convergence, better performance, and generalization to unseen LHC processes using a single model.
Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
2 Pith papers cite this work, alongside 4 external citations. Polarity classification is still indexing.
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Parnassus faithfully reproduces the ALEPH detector response at event, jet, and particle levels for clean e+e- to Z to qqbar events.
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One Generator, Any Process: LLM-Conditioning for the LHC
LLM embeddings condition a generative transformer to enable faster convergence, better performance, and generalization to unseen LHC processes using a single model.
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An AI-based Detector Simulation and Reconstruction Model for the ALEPH Experiment at LEP
Parnassus faithfully reproduces the ALEPH detector response at event, jet, and particle levels for clean e+e- to Z to qqbar events.