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Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding

Summary: Unified, cost-aware framework for LLM-based table understanding that compresses tabular inputs to cut input token cost while boosting accuracy. Demonstrated across multiple tasks (e.g., column-type annotation), outperforms LLM baselines at equal or lower cost. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14069
Venue
VLDB
Year
2025
Pagerank
4.1905499e-05
Overall Rank
10,759 | 25.23%
DOI
10.14778/3749646.3749714

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Showing 18 of 18 cited papers.

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

Rank Cited Paper Year Venue Pagerank
108 WebTables: Exploring the Power of Tables on the Web 2008 VLDB 0.00048345996
365 Annotating and Searching Web Tables Using Entities, Types and Relationships 2010 VLDB 0.00025616694
420 InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables 2012 SIGMOD 0.00023700634
514 TURL: Table Understanding through Representation Learning 2021 VLDB 0.00021280726
516 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00021194444
1,866 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 0.00010265592
2,513 Annotating Columns with Pre-trained Language Models 2022 SIGMOD 8.6155767e-05
2,585 Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks 2024 SIGMOD 8.4909917e-05
2,842 Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning 2023 VLDB 8.0366354e-05
2,895 Sato: Contextual Semantic Type Detection in Tables 2020 VLDB 7.9539265e-05
3,003 Chorus: Foundation Models for Unified Data Discovery and Exploration 2024 VLDB 7.7358219e-05
3,520 GitTables: A Large-Scale Corpus of Relational Tables 2023 SIGMOD 7.0136102e-05
4,860 Integrating Data Lake Tables 2023 VLDB 5.867964e-05
5,098 ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models 2024 VLDB 5.6943033e-05
6,071 Observatory: Characterizing Embeddings of Relational Tables 2024 VLDB 5.2231739e-05
7,045 Magneto: Combining Small and Large Language Models for Schema Matching 2025 VLDB 4.8474104e-05
7,915 Efficient Approximate Algorithms for Empirical Entropy and Mutual Information 2021 SIGMOD 4.6135329e-05
8,852 Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation 2023 SIGMOD 4.4313992e-05
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