arXiv Open Access 2025

Foundation models for high-energy physics

Anna Hallin
Lihat Sumber

Abstrak

The rise of foundation models -- large, pretrained machine learning models that can be finetuned to a variety of tasks -- has revolutionized the fields of natural language processing and computer vision. In high-energy physics, the question of whether these models can be implemented directly in physics research, or even built from scratch, tailored for particle physics data, has generated an increasing amount of attention. This review, which is the first on the topic of foundation models in high-energy physics, summarizes and discusses the research that has been published in the field so far.

Penulis (1)

A

Anna Hallin

Format Sitasi

Hallin, A. (2025). Foundation models for high-energy physics. https://arxiv.org/abs/2509.21434

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓