Bridging the Gap: Cardinality Estimation for Semantic Queries on Unstructured Data
Summary: SemStats estimates cardinalities for LLM-driven semantic queries over unstructured data using a semantic catalog/index and lightweight learned judges. Stratified importance sampling yields up to 25× lower error and 31× lower latency than prior methods. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Shihui Xu (Tsinghua University)
- 2. Jiayi Wang (Tsinghua University)
- 3. Guoliang Li (Tsinghua University)
BibTeX Citation
@inproceedings{xu_sigmod26,
title = {{Bridging the Gap: Cardinality Estimation for Semantic Queries on Unstructured Data}},
author = {Xu, Shihui and Wang, Jiayi and Li, Guoliang},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802024},
url = {https://dl.acm.org/doi/10.1145/3802024},
year = {2026}
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