Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks
Summary: nvBench is the first nl2vis benchmark, synthesized from nl2sql (Spider) via an AST bridge unifying SQL and vis trees for multiple viz languages. It reduces benchmark creation to 5.7% of manual effort and a seq2vis model trained on nvBench outperforms prior nl2vis methods, with extensive validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuyu Luo (Tsinghua University)
- 2. Chengliang Chai (Tsinghua University)
- 3. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 4. Wenbo Li (Tsinghua University)
- 5. Guoliang Li (Tsinghua University)
- 6. Xuedi Qin (Tsinghua University)
BibTeX Citation
@inproceedings{luo_sigmod21,
title = {{Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks}},
author = {Luo, Yuyu and Chai, Chengliang and Tang, Nan and Li, Wenbo and Li, Guoliang and Qin, Xuedi},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457261},
url = {https://dl.acm.org/doi/10.1145/3448016.3457261},
year = {2021}
}
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