ChatQCD: Let Large Language Models Explore QCD

TL;DR

This paper introduces ChatQCD, a large language model designed to explore and generate scientific texts related to quantum chromodynamics, aiming to accelerate research and knowledge consolidation in high-energy physics.

Contribution

It constructs a specialized corpus and develops a generative model for QCD, pioneering efforts to automate scientific knowledge synthesis in this domain.

Findings

Built a QCD-specific scientific corpus

Developed a generative model for QCD texts

Discussed future challenges in LLM applications for scientific research

Abstract

Quantum chromodynamics (QCD) has yielded a vast literature spanning distinct phenomena. We construct a corpus of papers and build a generative model. This model holds promise for accelerating the capability of scientists to consolidate their knowledge of QCD by the ability to generate and validate scientific works in the landscape of works related to QCD and similar problems in HEP. Furthermore, we discuss challenges and future directions of using large language models to integrate our scientific knowledge about QCD through the automated generation of explanatory scientific texts.