Bridging LLMs and Database Systems: A Deep Dive into Enhanced Relational Operators
Summary: Tutorial unifying LLM-enhanced relational operators (matchers, filters, imputers, rankers) via a taxonomy of logic, granularity, and implementation. Surveys cascades, semantic batching, cost-based planning, benchmarks, and LLM–DB co-design challenges. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Tianjing Zeng (Alibaba)
- 2. Yin Lin (Alibaba)
- 3. Rong Zhu (Alibaba)
- 4. Yunxiang Su (Alibaba)
- 5. Zhongjun Ding (Alibaba)
- 6. Bolin Ding (Alibaba)
- 7. Jingren Zhou (Alibaba)
BibTeX Citation
@article{zeng_vldb26,
title = {{Bridging LLMs and Database Systems: A Deep Dive into Enhanced Relational Operators}},
author = {Zeng, Tianjing and Lin, Yin and Zhu, Rong and Su, Yunxiang and Ding, Zhongjun and Ding, Bolin and Zhou, Jingren},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4867--4871},
doi = {10.14778/3827998.3828141},
url = {https://doi.org/10.14778/3827998.3828141},
year = {2026}
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