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ELEET: Efficient Learned Query Execution over Text and Tables

Summary: ELEET makes text first-class via learned multi-modal operators (MMOps), enabling native joins/unions over tables and unstructured text. Replacing LLMs with a compact SLM and tailored pretraining, ELEET extracts structure with low overhead and achieves up to 575× speedups vs GPT‑4 baselines without accuracy loss. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13728
Venue
VLDB
Year
2024
Pagerank
4.5594273e-05
Overall Rank
8,204 | 42.93%
DOI
10.14778/3704965.3704989

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Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
221 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00033121824
287 Declarative Information Extraction Using Datalog with Embedded Extraction Predicates 2007 VLDB 0.00028971272
517 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00021169035
667 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00018440557
1,082 CAESURA: Language Models as Multi-Modal Query Planners 2024 CIDR 0.00014214232
1,116 Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes 2024 VLDB 0.00013890154
1,395 Structured Querying of Web Text: A Technical Challenge 2007 CIDR 0.00012207039
1,407 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00012146739
1,541 Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes 2023 CIDR 0.00011456579
2,153 Join Queries with External Text Sources: Execution and Optimization Techniques 1995 SIGMOD 9.4231298e-05
2,587 Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks 2024 SIGMOD 8.4924618e-05
2,771 A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data 2007 VLDB 8.1421432e-05
3,520 GitTables: A Large-Scale Corpus of Relational Tables 2023 SIGMOD 7.0131061e-05
7,820 Subjective Databases 2019 VLDB 4.6431208e-05
8,958 FlexER: Flexible Entity Resolution for Multiple Intents 2023 SIGMOD 4.4210635e-05
9,379 GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example 2023 SIGMOD 4.3462787e-05
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