In-Orbit GRB Identification Using LLM-based model for the CXPD CubeSat
This paper proposes and validates a quantized, fine-tuned multimodal large language model for real-time in-orbit gamma-ray burst identification and spectral index estimation on the CXPD CubeSat, achieving perfect classification accuracy and low regression error despite the computational constraints of onboard processing.