BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Large language models in astrophysics and prospects for applying G
 igaChat to Baikal-GVD and TAIGA
DTSTART;VALUE=DATE-TIME:20261029T150500Z
DTEND;VALUE=DATE-TIME:20261029T152000Z
DTSTAMP;VALUE=DATE-TIME:20261104T180214Z
UID:indico-contribution-6212@cern.ch
DESCRIPTION:Speakers: Ilya Plavunov ()\nWe review applications of large la
 nguage models in astrophysics and astroparticle physics\, including litera
 ture retrieval\, scientific programming\, observational data analysis\, an
 d computational experiments. We compare three complementary approaches: do
 main adaptation\, retrieval-augmented generation\, and agents that use ext
 ernal tools. Building on this comparison\, we propose an architecture for 
 a research assistant for Baikal-GVD and TAIGA. Particular attention is giv
 en to GigaChat as a promising foundation for a Russian-language scientific
  assistant. Its Russian-language specialization and the availability of op
 en weights provide opportunities for adaptation to collaboration documenta
 tion and deployment within collaboration computing infrastructure. We prop
 ose three pilot use cases: extracting information from astronomical alerts
 \, reproducing a selected analysis\, and answering questions about technic
 al documentation. We formulate a protocol for domain-specific evaluation u
 sing AstroMLab-1 and collaboration tasks. Integration with scientific tool
 s\, computational reproducibility\, and validation of physical results are
  discussed as requirements for developing a GigaChat-based assistant.\n\nh
 ttps://indico.particle.mephi.ru/event/626/contributions/6212/
LOCATION: Conference Hall 3
URL:https://indico.particle.mephi.ru/event/626/contributions/6212/
END:VEVENT
END:VCALENDAR