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数据库

32 篇 · 资讯流
  2. 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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  4. arXiv cs.DB（数据库）

    Supervised and LLM-Augmented Cardinality Estimation for Similarity Queries on Knowledge Graphs

    Over the past decades, query cardinality estimation on relational databases has been proven crucial, enabling the result

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  6. arXiv cs.DB（数据库）

    When the Application Layer Is Disposable: Putting Integrity Constraints Back in the Database

    Integrity constraints have been central to the relational model since its inception. However, beyond keys, single-row CH

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  8. 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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  10. arXiv cs.AI（人工智能）

    Conflicted Records: Typed Adversarial Contracts for Auditable LLM Output Quality Enforcement

    LLM-generated records increasingly populate production information systems where they are treated as data assets subject

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  12. arXiv cs.AI（人工智能）

    Designing for Imperfect Prompts: A Simulation-Based Evaluation of an LLM-Based Enterprise Data Assistant Using Knowledge Graphs

    Enterprise data assistants using large language models (LLMs) promise democratized data access in organizations. Yet in

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  14. arXiv cs.DB（数据库）

    RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions

    Foundation models for tables and relational databases are increasingly used for predictive tasks across various scientif

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  16. arXiv cs.DB（数据库）

    Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows

    Context: Large language model (LLM) agents are increasingly used as software and data-engineering assistants, yet eviden

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  18. arXiv cs.DB（数据库）

    STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling

    Relational foundation models (RFMs) are pretrained once on a collection of relational databases and prediction tasks, an

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  19. arXiv cs.DB（数据库）

    HakiCC: LLM-Driven Multi-Agent Design and Optimization of Concurrency Control Protocols

    Large language models (LLMs) have recently been applied in systems research as a tool to reduce human-intensive engineer

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