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From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management
Summary: Survey of very large language models (VLLMs) for data management, detailing usage in DB tasks with minimal fine-tuning. Explores Codex-style code generation, libraries/APIs, and LM-based architectures and integration with traditional systems.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12886
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 5.827729e-05
- Overall Rank
- 4,916 | 65.84%
- DOI
-
10.14778/3554821.3554896
Incoming Non-self Citations Over Time
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Showing 10 of 10 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 5,506 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
5.4711611e-05 |
| 6,558 |
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5.0060112e-05 |
| 6,712 |
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 |
2023 |
VLDB |
4.9474017e-05 |
| 7,143 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
4.8143774e-05 |
| 7,676 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.6770108e-05 |
| 8,892 |
Generation of Training Examples for Tabular Natural Language Inference |
2023 |
SIGMOD |
4.4233018e-05 |
| 9,282 |
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger |
2024 |
VLDB |
4.3598981e-05 |
| 9,874 |
A Universal Question-Answering Platform for Knowledge Graphs |
2023 |
SIGMOD |
4.2626861e-05 |
| 10,839 |
Large Language Models for Spatial Analysis Queries |
2025 |
VLDB |
4.1905499e-05 |
| 11,061 |
LLM-PBE: Assessing Data Privacy in Large Language Models |
2024 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 565 |
NaLIR: An Interactive Natural Language Interface for Querying Relational Databases |
2014 |
SIGMOD |
0.00019945986 |
| 1,404 |
DB-BERT: A Database Tuning Tool that "Reads the Manual" |
2022 |
SIGMOD |
0.00012179714 |
| 1,631 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
0.00011071662 |
| 2,025 |
From Natural Language Processing to Neural Databases |
2021 |
VLDB |
9.7477788e-05 |
| 2,348 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9903659e-05 |
| 3,466 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.0645718e-05 |
| 3,636 |
A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems |
2021 |
SIGMOD |
6.8920532e-05 |
| 3,765 |
Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins |
2022 |
VLDB |
6.7760748e-05 |
| 5,282 |
State of the Art and Open Challenges in Natural Language Interfaces to Data |
2020 |
SIGMOD |
5.5846982e-05 |
| 5,787 |
Machine Learning for Databases |
2021 |
VLDB |
5.3256401e-05 |
| 6,225 |
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems |
2021 |
VLDB |
5.1425119e-05 |
| 6,265 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.1294788e-05 |
| 6,440 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0546781e-05 |
| 7,652 |
Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward |
2021 |
VLDB |
4.6831938e-05 |
| 8,340 |
Deep Learning: Systems and Responsibility |
2021 |
SIGMOD |
4.5381546e-05 |
| 9,136 |
TextCube: Automated Construction and Multidimensional Exploration |
2019 |
VLDB |
4.3843441e-05 |
| 9,137 |
Combating Fake News: A Data Management and Mining Perspective |
2019 |
VLDB |
4.3843441e-05 |
| 11,386 |
BABOONS: Black-Box Optimization of Data Summaries in Natural Language |
2022 |
VLDB |
4.1905499e-05 |
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