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Bites of FM4S: [2] LLMs for experiments in fundamental physics

3 June 2025
Europe/Zurich timezone

Session

Invited talks

3 Jun 2025, 15:00

Presentation materials

Intro slides
  1. 8. AccGPT: A Chatbot for CERN Internal Knowledge
    Dr Florian Rehm (CERN)
    03/06/2025, 15:00

    AccGPT is an innovative pilot project utilizing Large Language Models (LLMs) to create a chatbot for interacting with CERN's extensive internal knowledge base. This initiative is primarily led by the CERN Beams and IT departments, while the objective is to make this chatbot available to the entire CERN community. AccGPT is designed to provide quick and straightforward answers to queries,...

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  2. 5. chATLAS: An AI Assistant for the ATLAS Collaboration
    Daniel Thomas Murnane (Niels Bohr Institute, University of Copenhagen)
    03/06/2025, 15:25

    The ATLAS Collaboration is composed of around 6,000 scientists, engineers, developers, students and administrators, with decades of institutional documentation spread across wikis, code docs, meeting agendas, recommendations, publications, tutorials, and project management systems. With the advent of retrieval augmented generation (RAG) and sophisticated large language models (LLMs) such as...

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  3. 7. LLM-based physics analysis assistant at BESIII
    Beijiang Liu, Changzheng YUAN, Ke Li (Chinese Academy of Sciences (CN)), Zhengde Zhang (中国科学院高能物理研究所)
    03/06/2025, 15:50

    The data processing and analyzing is one of the main
    challenges at HEP experiments. To accelerate the physics
    analysis and drive new physics discovery, the rapidly
    developing Large Language Model (LLM) is the most promising
    approach, it have demonstrated astonishing capabilities in
    recognition and generation of text while most parts of physics
    analysis can be benefitted. In this talk we...

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  4. 1. Multi-Agent Research Validator & Enabler Using LLMs (MARVEL): Experiences from LIGO
    Nikhil Mukund (MIT)
    03/06/2025, 16:30

    Gravitational wave research at the Advanced LIGO observatories integrates complex, interconnected elements of experimental physics, computational simulations, and theoretical astrophysics. However, decades of valuable knowledge remain scattered across unstructured, multi-modal data and fragmented codebases. Efficient dissemination of this knowledge using large language models (LLMs) can...

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  5. 2. The SpeakYSE: An Agentic LLM for Supernova Science
    Alex Gagliano (IAIFI/MIT/Harvard)
    03/06/2025, 16:55

    Time-domain astronomy is rapidly entering a data-rich era in which wide-field surveys discover millions of transients per year, overwhelming traditional, hand-driven analysis. In this talk we present SpeakYSE, an agentic and open-source language model that turns natural-language requests into end-to-end analyses for the Young Supernova Experiment. The SpeakYSE links literature retrieval,...

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  6. 9. Bridging LLMs and Scientific Infrastructure: A2rchi for Context-Aware Research Support
    Mariarosaria D'Alfonso (Massachusetts Inst. of Technology (US))
    03/06/2025, 17:20

    We introduce A2rchi (AI-Augmented Research Chat Intelligence), an intelligent, domain-adaptable open source chatbot designed to support research and education workflows.
    Beyond its core functionalities, A2rchi also integrates with common communication and workflow tools, including email systems, ticketing platforms, and collaboration platforms like Mattermost, offering seamless assistance...

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  7. 4. TBD [LLMs for LHCb]
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