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## System and Tutorial
- Machine learning in modern database systems: Techniques, architectures, and deployment challenges
* ***SageDB: A Learned Database System (CIDR 2019)***
* Database Learning: Toward a Database that Becomes Smarter Every Time (SIGMOD 2017)
* Self-Driving Database Management Systems (CIDR 2017)
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* Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability (ICML 2024)

## Data Access
- Efficient Management of High-Frequency Sensor Data Streams Using a Read-Optimized Learned Index
- DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation
- Arbiter: Towards joint and fine-grained index and partition tuning in analytical databases
- LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning
- MoDora: Tree-Based Semi-Structured Document Analysis System
### Configuration Tuning
* SARD: A statistical approach for ranking database tuning parameters (ICDEW, 2008)
* Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning （2016）
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* A Learned Cache Eviction Framework with Minimal Overhead (arXiv 2023)

## Workload
- Predicting a future workload for scaling database processing resources for satisfying a performance objective
- Encoder–decoder-based workload forecasting framework for database-as-a-service: Y. Cheng et al.
- Libra: Flexible Request Partitioning and Scheduling for Serving Unbalanced and Dynamic LLM Workloads
- DEL4CW: Deep Expansion Learning for Cloud Workloads Prediction
### Workload generation
Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads (SIGMOD 2025)

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* From Feature Selection to Resource Prediction: An Analysis of Commonly Applied Workflows and Techniques (EDBT 2025)

## Query Optimization
- iPDB--Optimizing SQL Queries with ML and LLM Predicates
- HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning
- Meta Engine: A Unified Semantic Query Engine on Heterogeneous LLM-Based Query Systems
- Federated AI-Driven Query Optimization for Distributed Cloud Databases
- Towards a Hybrid Quantum-Classical Computing Framework for Database Optimization Problems in Real Time Setup
- When temporary results meet intermediate index: An optimization technique of procedural SQL query processing
- Detecting and Optimizing Flawed Queries in Triplestore-Based Knowledge Systems Using Reinforcement Learning: Reinforcement Learning for Secure SPARQL …
- Learned Query Optimizer in Alibaba MaxCompute: Challenges, Analysis, and Solutions
- Semantics and Multi-Query Optimization Algorithms for the Analyze Operator
- OCACO: an operator-level cardinality and cost joint estimator
- A universal LLM Framework for General Query Refinements
- Semantic Caching for OLAP via LLM-Based Query Canonicalization
* Learned Query Optimizer: What is New and What is Next (SIGMOD 2024)
* GLO: Towards Generalized Learned Query Optimization (ICDE 2024)
* Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions (ICDE 2024)
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* FOSS: A learned doctor for query optimization (VLDBJ)

## Query Execution
- Piece of CAKE: Adaptive Execution Engines via Microsecond-Scale Learning
### Sort
* The Case for a Learned Sorting Algorithm (SIGMOD 2020)
* Defeating duplicates: A re-design of the LearnedSort algorithm (aiXiv 2021)
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* Polyjuice: High-Performance Transactions via Learned Concurrency Control (OSDI 2021)

## Text-to-SQL
- Reflective Reasoning for SQL Generation
- AgentSM: Semantic Memory for Agentic Text-to-SQL
- ST-Raptor: An Agentic System for Semi-Structured Table QA
- Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study
- Beyond Static Pipelines: Learning Dynamic Workflows for Text-to-SQL
- The CitizenQuery Benchmark: A Novel Dataset and Evaluation Pipeline for Measuring LLM Performance in Citizen Query Tasks
- DarijaDB: Unlocking Text-to-SQL for Arabic Dialects
- A Text-to-SQL strategy based on large language models and knowledge graphs for real-world databases
- DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning
- PromCopilot: Simplifying Prometheus Metric Querying in Cloud Native Online Service Systems via Large Language Models
* SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning (arXiv 2017)
* An End-to-end Neural Natural Language Interface for Databases (arXiv 2018)
* SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task (EMNLP 2018)
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