#high-energy-physics News & Analysis

2 articles tagged with #high-energy-physics. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 106/10

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Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

Researchers present agentic hybrid RAG, a framework combining retrieval-augmented generation with agentic reasoning to improve scientific question answering in muon collider physics research. The work introduces the first benchmark for retrieval-augmented QA in high-energy physics, demonstrating that hybrid retrieval methods outperform traditional approaches for locating and synthesizing evidence from scientific literature.

AINeutralarXiv – CS AI · May 116/10

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Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics

Researchers have successfully adapted Vision-Language Models (VLMs) based on LLaMA 3.2 to classify neutrino events in high-energy physics detector data, demonstrating that transformer-based architectures outperform traditional CNNs while offering superior interpretability. This work showcases the broader applicability of large multimodal AI models beyond natural language processing to specialized scientific domains.