- **来源**:deepxiv
- **分数**:0.435
- **入选原因**:code signal; appeared 1x before
- **摘要**:Enterprises commonly deploy heterogeneous database systems, each of which owns a distinct SQL dialect with different syntax rules, built-in functions, and execution constraints. However, most existing NL2SQL methods assume a single dialect (e.g., SQLite) and struggle to produce q...
链接:https://arxiv.org/abs/2603.07449
<div style="margin-top: 2rem; padding: 1rem; border-left: 3px solid #4a90d9; font-size: 0.9rem; opacity: 0.85;">
完整深度阅读见博客文章,使用结构化三元组方法拆解论文逻辑。
</div>
- **来源**:deepxiv
- **分数**:0.3975
- **入选原因**:topic keywords matched; code signal; 1 citations; appeared 1x before
- **摘要**:The integration of large language model (LLM) and data management (DATA) is rapidly redefining both domains. In this survey, we comprehensively review the bidirectional relationships. On the one hand, DATA4LLM, spanning large-scale data processing, storage, and serving, feeds LLM...
链接:https://arxiv.org/abs/2505.18458
<div style="margin-top: 2rem; padding: 1rem; border-left: 3px solid #4a90d9; font-size: 0.9rem; opacity: 0.85;">
完整深度阅读见博客文章,使用结构化三元组方法拆解论文逻辑。
</div>
- **来源**:deepxiv
- **分数**:0.3949
- **入选原因**:topic keywords matched; 9 citations; appeared 1x before
- **摘要**:Traditional Data+AI systems utilize data-driven techniques to optimize performance, but they rely heavily on human experts to orchestrate system pipelines, enabling them to adapt to changes in data, queries, tasks, and environments. For instance, while there are numerous data sci...
链接:https://arxiv.org/abs/2507.01599
<div style="margin-top: 2rem; padding: 1rem; border-left: 3px solid #4a90d9; font-size: 0.9rem; opacity: 0.85;">
完整深度阅读见博客文章,使用结构化三元组方法拆解论文逻辑。
</div>
- **来源**:deepxiv
- **分数**:0.3925
- **入选原因**:topic keywords matched; appeared 1x before
- **摘要**:The agency expected of Agentic Large Language Models goes beyond answering correctly, requiring autonomy to set goals and decide what to explore. We term this investigatory intelligence, distinguishing it from executional intelligence, which merely completes assigned tasks. Data ...
链接:https://arxiv.org/abs/2602.02039
<div style="margin-top: 2rem; padding: 1rem; border-left: 3px solid #4a90d9; font-size: 0.9rem; opacity: 0.85;">
完整深度阅读见博客文章,使用结构化三元组方法拆解论文逻辑。
</div>
- **来源**:deepxiv
- **分数**:0.3869
- **入选原因**:code signal; 2 citations; appeared 1x before
- **摘要**:Large language models (LLMS) have shown increasing effectiveness in Text-to-SQL tasks. However, another closely related problem, Cross-System SQL Translation (a.k.a., SQL-to-SQL), which adapts a query written for one database system (e.g., MySQL) into its equivalent one for anoth...
链接:https://arxiv.org/abs/2509.23338
<div style="margin-top: 2rem; padding: 1rem; border-left: 3px solid #4a90d9; font-size: 0.9rem; opacity: 0.85;">
完整深度阅读见博客文章,使用结构化三元组方法拆解论文逻辑。
</div>