FilterPilot: An Interactive Assistant for Adapting Filtering Predicate to Table Content
Summary: FilterPilot is an LLM-powered interactive assistant that adapts user filtering terms to high-cardinality table contents, using iterative recall-then-verify reformulation with value feedback. UCB-guided expansion and early stopping improve predicate discovery under optional temporal constraints. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Shiwen Wu (Hong Kong University of Science and Technology)
- 2. Yuqi Wang (Hong Kong University of Science and Technology)
- 3. Yue Pang (Hong Kong University of Science and Technology)
- 4. Xiaofang Zhou (Hong Kong University of Science and Technology)
BibTeX Citation
@article{wu_vldb26,
title = {{FilterPilot: An Interactive Assistant for Adapting Filtering Predicate to Table Content}},
author = {Wu, Shiwen and Wang, Yuqi and Pang, Yue and Zhou, Xiaofang},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4626--4629},
doi = {10.14778/3827998.3828082},
url = {https://doi.org/10.14778/3827998.3828082},
year = {2026}
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|---|---|---|---|---|
| 3,925 | Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System | 2025 | SIGMOD | 6.9214086e-05 |
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