Intelligent Agents for Data Exploration
Summary: Surveys RL-based agents for incremental data exploration—operators, hand-crafted rewards, and task-specific successes. Positions LLM-powered agents vs RL on an automation–control spectrum, argues LLMs may reduce retraining and enable more general planner-like exploration while highlighting open tradeoffs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,790 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1905499e-05 |
| 10,864 | Exploring Exploratory Querying | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,992 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.8415851e-05 |
| 4,876 | Approximation Schemes for Many-Objective Query Optimization | 2014 | SIGMOD | 5.8544467e-05 |
| 5,481 | Guided Exploration of User Groups | 2020 | VLDB | 5.483544e-05 |
| 7,200 | Guided Exploration of Data Summaries | 2022 | VLDB | 4.7980895e-05 |
| 11,396 | EDA4SUM: Guided Exploration of Data Summaries | 2022 | VLDB | 4.1905499e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,481 | Guided Exploration of User Groups | 2020 | VLDB | 5.483544e-05 |
| 8,732 | Unveiling Challenges for LLMs in Enterprise Data Engineering | 2026 | VLDB | 4.4520434e-05 |
| 5,965 | Automatic Data Acquisition for Deep Learning | 2021 | VLDB | 5.2476363e-05 |
| 10,465 | Sentence to Model: Cost-Effective Data Collection LLM Agent | 2025 | SIGMOD | 4.1905499e-05 |
| 8,157 | Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study | 2024 | SIGMOD | 4.5701714e-05 |
| 4,755 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB | 5.9375171e-05 |
| 4,540 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.0978937e-05 |
| 10,328 | LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning | 2026 | VLDB | 4.1905499e-05 |
| 9,991 | Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First | 2026 | CIDR | 4.1905499e-05 |
| 7,016 | LLM for Data Management | 2024 | VLDB | 4.8561622e-05 |