Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach

Summary: Solo enables natural-language data discovery with self-supervised training, no labeled data needed. It develops self-supervised data generation, table representations, and relevance models for end-to-end learned discovery that outperforms baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h226f5e2397761c07
Venue: SIGMOD
Year: 2023
Pagerank: 5.6272426e-05
Overall Rank: 6,979 | 53.10%
DOI: 10.1145/3626756

Incoming Non-self Citations Over Time

Authors

1. Qiming Wang (University of Chicago)
2. Raul Castro Fernandez (University of Chicago)

BibTeX Citation

@inproceedings{wang_sigmod23,
        title = {{Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach}},
        author = {Wang, Qiming and Fernandez, Raul Castro},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626756},
        url = {https://dl.acm.org/doi/10.1145/3626756},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,236	How Large Language Models Will Disrupt Data Management	2023	VLDB	7.4996147e-05
3,924	Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System	2025	SIGMOD	6.9195146e-05
8,526	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees	2026	SIGMOD	5.3215522e-05
9,033	Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search	2024	VLDB	5.2322216e-05
10,199	Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees	2026	VLDB	5.0599411e-05
10,510	Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach	2026	SIGMOD	4.9769913e-05
10,684	Qualitative Join Discovery in Data Lakes using Examples	2026	SIGMOD	4.9769913e-05
11,264	Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index	2025	VLDB	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
89	WebTables: Exploring the Power of Tables on the Web	2008	VLDB	0.00035115118
217	Efficient IR-Style Keyword Search over Relational Databases	2003	VLDB	0.00024454844
509	Goods: Organizing Google's Datasets	2016	SIGMOD	0.00017063491
1,293	Finding Related Tables in Data Lakes for Interactive Data Science	2020	SIGMOD	0.00011144991
1,336	Auctus: A Dataset Search Engine for Data Discovery and Augmentation	2021	VLDB	0.00010984121
3,617	Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation	2022	SIGMOD	7.1540505e-05

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