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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 3: Invited Talks

AKPIK 3.1: Hauptvortrag

Dienstag, 17. März 2026, 11:00–11:30, KS H C

Large Language Models for Research Data Access — •Jutta Schnabel for the KM3NET-ERLANGEN collaboration — ECAP, FAU Erlangen-Nürnberg

In a strive to provide ever more interoperable, complex scientific data to a wide range of users across scientific domains, new approaches to lower the boundaries for the access to research data are called for. To address the collection, reduction and analysis of data, as well as its storage, sharing and finding, Large Language Models (LLMs) offer an intriguing opportunity. They can facilitate the transition in research data management from Big Data to Smart Data by increasing the effectiveness of research workflows and the efficiency of data discovery, curation, and reuse especially in the physics domain. This contribution will introduce the uptake of LLMs for data management as pursued in the Physics-LLM project in ErUMData, starting from the application of LLMs in the KM3NeT collaboration.

Keywords: large language models; research data management; neutrino physics