EP330: AI agents audit 10,000 page nuclear reports

Title: LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory DocumentsSource: http://arxiv.org/abs/2606.29399v1Summary:This work proposes a novel agentic reasoning framework centered on LLM-guided planning for complex, multi-hop reasoning tasks over extensive document sets, demonstrating a significant breakthrough in agent capabilities. The emphasis on planning as the dominant performance factor (+38.0pp gain) establishes a crucial paradigm for how agents can tackle real-world problems requiring sophisticated, structured inference and knowledge accumulation.