3 papers
cs.LG2026
Augmenting representations with scientific papers
Nicolò Oreste Pinciroli Vago, Rocco Di Tella, Carolina Cuesta-Lázaro +3
Astronomers have acquired vast repositories of multimodal data, including images, spectra, and time series, complemented by decades of literature that analyzes astrophysical source…
cs.CL2025
Encoding and Understanding Astrophysical Information in Large Language Model-Generated Summaries
Kiera McCormick, Rafael Martínez-Galarza
Large Language Models have demonstrated the ability to generalize well at many levels across domains, modalities, and even shown in-context learning capabilities. This enables rese…
astro-ph.IM2023
The Future of Astronomical Data Infrastructure: Meeting Report
Michael R. Blanton, Janet D. Evans, Dara Norman +69
The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, and…