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: 13884
Venue: VLDB
Year: 2024
Pagerank: 5.2907112e-05
Overall Rank: 9,293 | 36.25%
DOI: 10.14778/3685800.3685913

Incoming Non-self Citations Over Time

Authors

1. Sihem Amer-Yahia (National Centre for Scientific Research; Université Grenoble Alpes)

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
11,013	Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models	2025	VLDB	5.093636e-05
11,084	Exploring Exploratory Querying	2025	VLDB	5.093636e-05

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
2,058	Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning	2020	SIGMOD	9.2480248e-05
5,124	Approximation Schemes for Many-Objective Query Optimization	2014	SIGMOD	6.3567981e-05
6,039	Guided Exploration of User Groups	2020	VLDB	5.9990875e-05
7,003	Guided Exploration of Data Summaries	2022	VLDB	5.7278883e-05
11,592	EDA4SUM: Guided Exploration of Data Summaries	2022	VLDB	5.093636e-05

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