Большие языковые модели в физике высоких энергий (краткий обзор) и направления будущих разработок: Аннотации
Year: 2026
Type: article
Abstract: Integrating Large Language Models (LLMs) into high-energy physics (HEP) drives a paradigm shift in how researchers design experiments, analyze data, and automate complex workflows. A survey reveals various scenarios in which LLMs utilize pre-trained models through the Retrieval-Augmented Generation (RAG) architecture to meet their requirements. It analyzes our experimental scenario to show how the RAG architecture helps improve an administrative manual for the segment of server network. Finally, it describes possible directions for future developments.
Institutions: Kurchatov Institute, Petersburg Nuclear Physics Institute
Language: Russian
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7223080659