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Auto-update: Add 25 new AI4DB papers (2026-03-05) #37

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16 changes: 16 additions & 0 deletions README.md
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Expand Up @@ -114,6 +114,17 @@ Table of Contents
* Farming Your ML-based Query Optimizer's Food. (ICDE 2022, **best demo award**)
* Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems (VLDB 2024)
* Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability (ICML 2024)
* Towards Effective Orchestration of AI x DB Workloads (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2603.03772v1)
* GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2603.02081v1)
* PIPE-RDF: An LLM-Assisted Pipeline for Enterprise RDF Benchmarking (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2602.18497v1)
* APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2602.16720v1)
* GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2602.16719v1)
* BIRDTurk: Adaptation of the BIRD Text-to-SQL Dataset to Turkish (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2602.03633v1)
* Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2602.01701v2)
* AI-Driven autonomous database management: Self-tuning, predictive query optimization, and intelligent indexing in enterprise it environments (World Journal of Advanced Research and Reviews 2025) [[link]](https://www.semanticscholar.org/paper/e9feaf71603cd86835954f7518fa9fd10f98f557)
* λ-Tune: Harnessing Large Language Models for Automated Database System Tuning (Proc. ACM Manag. Data 2024) [[arXiv]](https://arxiv.org/abs/2411.03500)
* DB-BERT: making database tuning tools “read” the manual (The VLDB journal 2023) [[link]](https://www.semanticscholar.org/paper/aba80d2362dff1097af6c5f10e4292e410e3cdc9)
* Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual (SIGMOD Conference 2022) [[link]](https://www.semanticscholar.org/paper/cd3cb3e905f6f584d473c67c463e39cd3b1ea4a4)

## Data Access
### Configuration Tuning
Expand Down Expand Up @@ -173,6 +184,7 @@ Table of Contents
* BitTuner: A Toolbox for Automatically Configuring Learned Data Compressors (ICDE 2025)
* AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning (SIGMOD 2025)
* L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3 (arXiv 2025)
* A Query-Level Distributed Database Tuning System with Machine Learning (Fall Joint Computer Conference 2022) [[link]](https://www.semanticscholar.org/paper/b9254f5cd261bc3313895875d0f9c59c4284c2e2)

### Physical Design
* Tiresias: Enabling Predictive Autonomous Storage and Indexing (VLDB 2022)
Expand Down Expand Up @@ -825,7 +837,11 @@ Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized
* PreQR: Pre-training Representation for SQL Understanding (SIGMDO 2022)
* From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management (VLDB 2022)
* Query Generation based on Generative Adversarial Networks (arXiv 2023)
* Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases (arXiv 2026) [[arXiv]](http://arxiv.org/abs/2602.09572v2)

## Stargazers over time

[![Stargazers over time](https://starchart.cc/LumingSun/ML4DB-paper-list.svg)](https://starchart.cc/LumingSun/ML4DB-paper-list)


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