radio-llava: Advancing Vision-Language Models for Radio Astronomical Source Analysis

S. Riggi, T. Cecconello, A. Pilzer +5

The advent of next-generation radio telescopes is set to transform radio astronomy by producing massive data volumes that challenge traditional processing methods. Deep learning te…