dorsal/arxiv
View SchemaLarge Language Model Integration for Knowledge Retrieval and Interaction for the DUNE Experiment
| Authors | A. Rafique, A. Singh, R. Srinivas |
|---|---|
| Categories | |
| ArXiv ID | 2601.05278vv1 |
| URL | https://arxiv.org/abs/2601.05278 |
| License | http://creativecommons.org/licenses/by/4.0/ |
Abstract
The Deep Underground Neutrino Experiment (DUNE) is a next-generation neutrino experiment that will generate an unprecedented volume of heterogeneous information-from documentation and technical notes to experimental data and reconstruction pipelines. Efficient knowledge retrieval and contextual understanding are increasingly critical for collaboration-wide productivity and onboarding. In this work, we present DUNE-GPT, a prototype framework that leverages large language models (LLMs) and retrieval-augmented generation (RAG) to enable natural-language querying of DUNE's internal documentation and technical resources. The system provides an intelligent interface for DUNE collaborators to interact with experiment-specific knowledge while maintaining data privacy and infrastructure compliance within Fermilab computing resources.
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"date_created": "2026-02-17T05:53:04.389000Z",
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"abstract": "The Deep Underground Neutrino Experiment (DUNE) is a next-generation neutrino experiment that will generate an unprecedented volume of heterogeneous information-from documentation and technical notes to experimental data and reconstruction pipelines. Efficient knowledge retrieval and contextual understanding are increasingly critical for collaboration-wide productivity and onboarding. In this work, we present DUNE-GPT, a prototype framework that leverages large language models (LLMs) and retrieval-augmented generation (RAG) to enable natural-language querying of DUNE\u0027s internal documentation and technical resources. The system provides an intelligent interface for DUNE collaborators to interact with experiment-specific knowledge while maintaining data privacy and infrastructure compliance within Fermilab computing resources.",
"arxiv_id": "2601.05278",
"authors": [
"A. Rafique",
"A. Singh",
"R. Srinivas"
],
"categories": [
"hep-ex"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"title": "Large Language Model Integration for Knowledge Retrieval and Interaction for the DUNE Experiment",
"url": "https://arxiv.org/abs/2601.05278",
"version": "v1"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "f353774d-39e6-46a2-bf5a-ec479d98b240",
"id": "arXiv Dataset",
"type": "Model",
"variant": "snapshot-2026-01-17",
"version": "0.1.0"
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