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  2. arXiv cs.AI（人工智能）

    ArcRAG: Agentic Compositional Retrieval over Knowledge Graphs

    Graph-based retrieval-augmented generation (GraphRAG) answers questions by retrieving over a knowledge graph built from

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  4. arXiv cs.DB（数据库）

    ElectroChemLLM: A Multimodal LLM Pipeline for High-Fidelity Electrochemical Informatics

    Electrochemistry is central to solving many modern-day challenges, including energy storage systems for a sustainable fu

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  6. arXiv cs.DB（数据库）

    Automated Enrichment Analysis with GraphRAG: Efficient Multi-Database ORA Extraction and Biological Interpretation

    Over-representation analysis (ORA) is widely used to interpret gene-expression studies, but its outputs are often fragme

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  8. arXiv cs.CL（自然语言）

    A Matryoshka Hierarchical RAG for Efficient Multi-Hop Question Answering

    Retrieval-Augmented Generation (RAG) systems for multi-hop Question Answering (QA) must balance retrieval quality with c

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  10. arXiv cs.DB（数据库）

    Robust Hierarchical Structures for Agentic Document Analysis

    Large Language Models (LLMs) enable us to better understand text documents, including PDFs and Word documents. However,

    原文 ↗