🔍 Information Retrieval & RAG

🧠 NeurIPS2026 · 1 paper notes

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LogicTree-RAG: Logic Tree-guided Retrieval-Augmented Generation for Long-form Patent Drafting

LogicTree-RAG organizes a research paper into a retrievable, recursively expandable logic tree with evidence associations, then uses section-specific hybrid traversal to generate a long patent-description draft, achieving 20.22k output tokens, 43.79 coverage, and 66.34 source-combined factuality on the Pap2Pat test set; these results do not certify patentability or legal validity.