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Unstructured Data Analysis Using LLMs: A Comprehensive Benchmark

Summary: Bench-U is a comprehensive benchmark for LLM-based unstructured data analysis, pairing six diverse datasets with manually curated relational ground truth and rich analytical workloads. It enables interface-agnostic evaluation and exposes tradeoffs across query interfaces, optimization, operators, and processing. (summarized by gpt-5.6-luna on Aug 17 2026)

Paper ID
h30ce490b38a1c764
Venue
VLDB
Year
2026
Pagerank
5.2905577e-05
Overall Rank
8,680 | 41.65%
DOI
10.14778/3819518.3819559

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{deng_vldb26,
        title = {{Unstructured Data Analysis Using LLMs: A Comprehensive Benchmark}},
        author = {Deng, Qiyan and Li, Jianhui and Chai, Chengliang and Yuan, Ye and Liu, Jinqi and She, Junzhi and Jin, Kaisen and Sun, Zhaoze and Deng, Yuhao and Yuan, Jia and Wang, Yuping and Zhou, Xu and Wang, Guoren and Cao, Lei},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {9},
        pages = {2398--2410},
        doi = {10.14778/3819518.3819559},
        url = {https://doi.org/10.14778/3819518.3819559},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,960 QuWARTS: Query Workload Aware Relational Table Synthesis from Unstructured Text 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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