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Intelligent Agents for Data Exploration

Summary: Surveys intelligent agents for conversational data exploration, spanning task-specific RL policies over OLAP/text operators to flexible LLM planners. Highlights the specificity–generality trade-off: RL requires retraining, while LLMs offer cross-task exploration but raise control and automation challenges. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h389f5f8facf7520b
Venue
VLDB
Year
2024
Pagerank
5.1567657e-05
Overall Rank
9,483 | 36.44%
DOI
10.14778/3685800.3685913
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ameryahia_vldb24,
        title = {{Intelligent Agents for Data Exploration}},
        author = {Amer-Yahia, Sihem},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4521--4530},
        doi = {10.14778/3685800.3685913},
        url = {https://doi.org/10.14778/3685800.3685913},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,397 Exploring Exploratory Querying 2025 VLDB 5.1672232e-05
11,438 Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models 2025 VLDB 4.9605343e-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
2,057 Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning 2020 SIGMOD 9.0995439e-05
5,248 Approximation Schemes for Many-Objective Query Optimization 2014 SIGMOD 6.1980997e-05
6,182 Guided Exploration of User Groups 2020 VLDB 5.8423254e-05
7,173 Guided Exploration of Data Summaries 2022 VLDB 5.578213e-05
11,950 EDA4SUM: Guided Exploration of Data Summaries 2022 VLDB 4.9605343e-05
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