SwellDB: Dynamic Query-Driven Table Generation with Large Language Models
Summary: LLM-driven dynamic table generation: SwellDB synthesizes data from LLMs, files, DBs, and text to satisfy prompts and SQL schemas. Mitigates closed-world limits via selective source choice and SQL-ready, queryable tables executed by SwellDB. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,116 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB | 0.00013890154 |
| 1,885 | CrowdDB: Query Processing with the VLDB Crowd | 2011 | VLDB | 0.0001021098 |
| 2,106 | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing | 2025 | CIDR | 9.5342543e-05 |
| 4,535 | Hybrid Querying Over Relational Databases and Large Language Models | 2025 | CIDR | 6.1049669e-05 |
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