Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL
Summary: Systematic study of extended LLM context windows for NL2SQL with gemini‑1.5‑pro, measuring how context types (column values, Q–SQL examples, hints, docs, schema) affect accuracy vs latency. Finds long‑context LLMs robust and deliver strong zero‑shot NL2SQL without fine‑tuning. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yeounoh Chung
- 2. Gaurav T. Kakkar
- 3. Yu Gan
- 4. Brenton Milne
- 5. Fatma Özcan
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,194 | PRISM: Navigating Cost–Accuracy Trade-offs for NL2SQL | 2026 | SIGMOD | 4.1945683e-05 |
| 10,837 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 369 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.0002547515 |
| 2,988 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 7.7761714e-05 |
| 3,662 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 6.8672143e-05 |
| 6,826 | Natural Language Interfaces for Databases with Deep Learning | 2023 | VLDB | 4.9142824e-05 |
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