AI RESEARCH
Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics
arXiv CS.AI
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ArXi:2509.08461v3 Announce Type: replace-cross Recent advances in Large Language Models (LLMs) have nstrated their remarkable capacity to process and reason over structured and unstructured data modalities beyond natural language. In this work, we explore the applications of Vision Language Models (VLMs), specifically a fine-tuned variant of LLaMA 3.2 to the task of identifying neutrino interactions in pixelated detector data from high-energy physics (HEP) experiments.