4 papers
Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics
Dikshant Sagar, Kaiwen Yu, Alejandro Yankelevich +2
Recent advances in Large Language Models (LLMs) have demonstrated their remarkable capacity to process and reason over structured and unstructured data modalities beyond natural la…
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Heterogeneous Point Set Transformers for Segmentation of Multiple View Particle Detectors
Edgar E. Robles, Dikshant Sagar, Alejandro Yankelevich +3
NOvA is a long-baseline neutrino oscillation experiment that detects neutrino particles from the NuMI beam at Fermilab. Before data from this experiment can be used in analyses, ra…
Fine-Tuning Vision-Language Models for Neutrino Event Analysis in High-Energy Physics Experiments
Dikshant Sagar, Kaiwen Yu, Alejandro Yankelevich +2
Recent progress in large language models (LLMs) has shown strong potential for multimodal reasoning beyond natural language. In this work, we explore the use of a fine-tuned Vision…