ChatQCD: Let Large Language Models Explore QCD
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866916413614063616 |
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| author | Sulc, Antonin Connor, Patrick L. S. |
| author_facet | Sulc, Antonin Connor, Patrick L. S. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_19021 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ChatQCD: Let Large Language Models Explore QCD Sulc, Antonin Connor, Patrick L. S. High Energy Physics - Phenomenology Physics Education 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. |
| title | ChatQCD: Let Large Language Models Explore QCD |
| topic | High Energy Physics - Phenomenology Physics Education |
| url | https://arxiv.org/abs/2409.19021 |