BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases
Summary: BridgeScope modularizes SQL into fine-grained, LLM-friendly tools (context retrieval, CRUD, ACID transactions) and ties tool behavior to DB privileges and user policies to prevent unsafe/unauthorized operations and preempt infeasible tasks. A proxy mechanism bypasses LLM data-transfer bottlenecks for data‑intensive workflows; database-agnostic design with a PostgreSQL release cuts token usage up to 80%. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Lianggui Weng
- 2. Dandan Liu
- 3. Rong Zhu
- 4. Bolin Ding
- 5. Jingren Zhou
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,082 | CAESURA: Language Models as Multi-Modal Query Planners | 2024 | CIDR | 0.00014214232 |
| 2,587 | Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks | 2024 | SIGMOD | 8.4924618e-05 |
| 3,662 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 6.8672143e-05 |
| 4,825 | Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks | 2021 | SIGMOD | 5.8946721e-05 |
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