AINeutralarXiv – CS AI · 6h ago6/10
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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.