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ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries
Summary: Defines 'correctness probability' for LLM ensemble correctness and formulates the budgeted Optimal Ensemble Selection (OES) problem. ThriftLLM approximates the non-submodular OES via a submodular upper bound, provides instance-dependent guarantees, and yields cost-effective SOTA results.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14056
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.3648789e-05
- Overall Rank
- 9,240 | 35.79%
- DOI
-
10.14778/3749646.3749702
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
Outgoing Citations (Sorted by Pagerank)
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 |
| 180 |
Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency |
2014 |
SIGMOD |
0.00037101192 |
| 219 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033354456 |
| 293 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028661817 |
| 366 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.00025580097 |
| 705 |
Magellan: Toward Building Entity Matching Management Systems |
2016 |
VLDB |
0.00017779048 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 799 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
0.00016479804 |
| 918 |
DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation |
2015 |
SIGMOD |
0.00015286593 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010111859 |
| 4,735 |
AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models |
2024 |
VLDB |
5.9538651e-05 |
| 4,837 |
Entity Resolution with Hierarchical Graph Attention Networks |
2022 |
SIGMOD |
5.8835638e-05 |
| 4,908 |
Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL |
2024 |
VLDB |
5.835596e-05 |
| 5,032 |
FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis |
2024 |
SIGMOD |
5.7431004e-05 |
| 8,054 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5909042e-05 |
| 8,384 |
Are Large Language Models a Good Replacement of Taxonomies? |
2024 |
VLDB |
4.5259772e-05 |
| 9,454 |
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models |
2024 |
VLDB |
4.3358002e-05 |
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