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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
6763
Venue
SIGMOD
Year
2023
Pagerank
4.6319504e-05
Overall Rank
7,868 | 45.27%
DOI
10.1145/3626756

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